. "University of Oxford" . . "RDF/XML description of Postdoctoral Scientist in Lewy Body Dementia Research" . "has min currency value (1..1)"@en . . _:N665f62cb92ba49eab5c2f49d977c2e43 "Oxford" . "true"^^ . "GBP" . . "tiene sede principal en"@es . . "FMRIB Centre" . . . . . _:Nd583d4c6706a4804bcd827351bf52dc6 "United Kingdom" . "street address"@en . "label" . . """We are looking for a highly-motivated researcher to join a multidisciplinary research team funded by National Heath Institute (NIH) to dissect the aetiology of Lew body dementias (LBD). These include Parkinson’s disease with dementia (PDD) and Dementia with Lewy bodies (DLB), which is the second most common progressive dementia, after Alzheimer’s disease (AD) and it affects millions of individuals around the world. Despite its impact, basic questions remain unanswered. Specifically, it is not clear if PDD and DLB are distinct diseases with different underlying mechanisms or if they are clinical syndromes on a single mechanistic spectrum. Furthermore, there are virtually no tools that enable clinicians to make an accurate diagnosis of LBD, which can only be confirmed at autopsy. The lack of validated biomarkers for LBD contributes to delayed diagnosis and misdiagnosis, and thus potentially exposes individuals affected by DLB to inappropriate medication use and results in the failure to treat DLB-specific manifestations. Thus, determining if the DLB and PDD are molecularly distinct is necessary for the identification of disease-specific therapeutic targets and biomarkers that will lead to effective treatments. We will employ digital pathology with artificial intelligence (AI) and genotyping in a large cohort of PDD and DLB brain (n~1000) to perform the first GWAS assessing the role of genetics in relation to quantitative PD neuropathology that may pinpoint to mechanistic targets Applicants must hold a PhD/DPhil (or close to completion) in Neuroscience or relevant subject area. You will have experience in general molecular biology techniques (e.g. immunohistochemistry, microscopy, DNA/RNA extraction) and good knowledge of neurodegenerative diseases as well as neuroanatomy. The ability to design experiments, trouble-shoot technical problems, be meticulous in practical work and in record keeping is essential. You will be part of a team but are also expected to work independently. For informal enquiries, please contact Prof Laura Parkkinen ( laura.parkkinen@ndcn.ox.ac.uk). 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We are looking for a highly-motivated researcher to join a multidisciplinary research team funded by National Heath Institute (NIH) to dissect the aetiology of Lew body dementias (LBD). These include Parkinson’s disease with dementia (PDD) and Dementia with Lewy bodies (DLB), which is the second most common progressive dementia, after Alzheimer’s disease (AD) and it affects millions of individuals around the world. Despite its impact, basic questions remain unanswered. Specifically, it is not clear if PDD and DLB are distinct diseases with different underlying mechanisms or if they are clinical syndromes on a single mechanistic spectrum. Furthermore, there are virtually no tools that enable clinicians to make an accurate diagnosis of LBD, which can only be confirmed at autopsy. The lack of validated biomarkers for LBD contributes to delayed diagnosis and misdiagnosis, and thus potentially exposes individuals affected by DLB to inappropriate medication use and results in the failure to treat DLB-specific manifestations. Thus, determining if the DLB and PDD are molecularly distinct is necessary for the identification of disease-specific therapeutic targets and biomarkers that will lead to effective treatments. We will employ digital pathology with artificial intelligence (AI) and genotyping in a large cohort of PDD and DLB brain (n~1000) to perform the first GWAS assessing the role of genetics in relation to quantitative PD neuropathology that may pinpoint to mechanistic targets

 

Applicants must hold a PhD/DPhil (or close to completion) in Neuroscience or relevant subject area. You will have experience in general molecular biology techniques (e.g. immunohistochemistry, microscopy, DNA/RNA extraction) and good knowledge of neurodegenerative diseases as well as neuroanatomy. The ability to design experiments, trouble-shoot technical problems, be meticulous in practical work and in record keeping is essential. You will be part of a team but are also expected to work independently.

 

For informal enquiries, please contact Prof Laura Parkkinen ( laura.parkkinen@ndcn.ox.ac.uk).

 

Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply.

 

The post is full time for a fixed term until 30/04/25 in the first instance.

 

Only applications received before 12.00 midday on Friday 29th November will be considered.

 

Interviews will be held as soon as possible thereafter.
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"""West Wing, Level 6, John Radcliffe Hospital, Oxford, OX3 9DU Web: www.ndcn.ox.ac.uk | Tel: +44(0)1865 234702 | Email: recruitment@ndcn.ox.ac.uk Job title Postdoctoral Scientist in Lewy Body Dementia Research Division Medical Sciences Division Department Nuffield Department of Clinical Neurosciences (NDCN) Location John Radcliffe Hospital, Headington, Oxford, OX3 9DU Grade and salary Grade 7: £38,674 – £46,913 per annum Hours Full time Contract type Fixed-term until 30/04/25 Reporting to Prof Laura Parkkinen, Director of Oxford Brain Bank and Professor of Translational Neuropathology Vacancy reference 176228 Research topic Dissecting the aetiology of Lewy body dementias using modern neuropathology tools Principal Investigator / supervisor Prof Laura Parkkinen Project team Parkinson’s Neuropathology Group www.ox.ac.uk/ Project web site Funding partner Recent publications https://www.ndcn.ox.ac.uk/research/parkinson2019sneuropathology-group The funds supporting this research project are provided by the National Institute of Health (NIH) 1) Altay MF, Liu AKL, Holton JL, Parkkinen L, Lashuel HA. Prominent astrocytic alpha-synuclein pathology with unique posttranslational modification signatures unveiled across Lewy body disorders. Acta Neuropathol Commun. 2022 ;10(1):163. 2) Poggiolini I, Gupta V, Lawton M, Lee S, El-Turabi A, Querejeta-Coma A, Trenkwalder C, Sixel-Döring F, Foubert- Samier A, Pavy-Le Traon A, Plazzi G, Biscarini F, Montplaisir J, Gagnon JF, Postuma RB, Antelmi E, Meissner WG, Mollenhauer B, Ben-Shlomo Y, Hu MT, Parkkinen L. Diagnostic value of cerebrospinal fluid alpha-synuclein seed quantification in synucleinopathies. Brain. 2022;145(2):584-595. 3) Borghammer P, Horsager J, Andersen K, Van Den Berge N, Raunio A, Murayama S, Parkkinen L, Myllykangas L. Neuropathological evidence of body-first vs. brain-first Lewy body disease. Neurobiol Dis. 2021;161:105557. The role This post provides an exciting opportunity to join a multidisciplinary research team studying Lewy body (LB) dementia (LBD) led by Professor Laura Parkkinen in the Nuffield Department of Clinical Neurosciences of the University of Oxford. The project is funded by National Heath Institute (NIH) and is carried out in collaboration together with Prof Steve Finkbeiner (Gladstone Institute). The group is combining expertise in clinical neuropathology, molecular biology, protein chemistry and genetics to investigate mechanisms and drug targets and to develop biologically-relevant biomarkers for PDD and DLB. LBD, including Parkinson’s disease with dementia (PDD) and Dementia with Lewy bodies (DLB), is the second most common progressive dementia, after Alzheimer’s disease (AD) and it affects millions of individuals around the world. LBD is fatal, and its incidence is increasing as the population age. Despite its impact, basic questions remain unanswered. Specifically, it is not clear if PDD and DLB are distinct diseases with different underlying mechanisms or if they are clinical syndromes on a single mechanistic spectrum. Furthermore, there are virtually no tools that enable clinicians to make an accurate diagnosis of LBD, which can only be confirmed at autopsy. The lack of validated biomarkers for LBD contributes to delayed diagnosis and misdiagnosis, and thus potentially exposes individuals affected by DLB to inappropriate medication use and results in the failure to treat DLB-specific manifestations. Thus, determining if the DLB and PDD are molecularly distinct is necessary for the identification of disease-specific therapeutic targets and biomarkers that will lead to effective treatments. Our hypothesis is that by employing 2nd generation neuropathology tools i.e. digital pathology with artificial intelligence (AI) and genetics, we can distinguish between the underlying disease mechanisms of DLB and PDD. You will use novel supervised AI-driven algorithms established in the Parkkinen lab to quantify PD- and AD-related pathologies including protein aggregation and inflammatory markers in digital images of brain tissue in a high-throughput manner (~1,000 PDD/DLB patients from UK brain banks). Images will be presented to deep learning networks to determine if the learnt information from the labels can accurately classify images according to diagnosis. Gradient-weighted class activation mapping will be used to reveal the labelled features that network discovers as the basis for accurate diagnoses. These cases will also undergo genotyping on Illumina’s Global Screening Array (GSA). We believe that genetic factors, in addition to modulating risk for disease, age at onset and disease progression, can also modulate the neuropathological endophenotypes. The high-throughput quantitative = methods described above enable us to perform the first GWAS assessing the role of genetics in relation to quantitative PD neuropathology that may pinpoint to mechanistic targets. Responsibilities • Develop, establish, and pursue appropriate analytical protocols and techniques to support research, particularly in relation to AI-driven algorithms to recognize different hallmark pathologies • Assist in AI algorithm development by annotating different pathological hallmarks as ground truths • Validate AI-driven algorithms in a smaller cohort with subsequent high-throughput application in final large cohort (~1000 PD/DLB patients) • Liaise with collaborators and other neuropathologist validating the developed AI tools • Extract and quality control the DNA samples for the GWA analysis • Develop research questions, testing hypotheses and analyzing scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate • Manage own academic research and administrative activities. This involves small-scale project management, to co-ordinate multiple aspects of work to meet given deadlines • Prepare relevant publications and presentations • Represent the research group at external meetings/seminars, either with other members of the group or alone • Undertake other duties in the department from time to time as determined commensurate with the grade and responsibilities of this post, and any other reasonable request • Undertake mandatory training as required by the University, Division and Department. The specific list of training courses may change from time-to-time, in response to both legal and internal University requirements Selection criteria Essential selection criteria • = Hold a relevant PhD/DPhil (or close to completion) in Neuroscience or related area • Demonstrable experience in translational human (or animal) neuropathology and knowledge of the brain anatomy • Experience in general molecular biology techniques (immunohistochemistry, microscopy, DNA/RNA extraction) • Working knowledge of statistical programs relevant to basic research • Ability to manage own research and administrative activities • Demonstrate strong teamwork and interpersonal skills Excellent communication skills, including the ability to write for publication, present results, and represent the research group at meetings • Previous experience of contributing to publications/presentations • Ability to work independently and problem solve • Ability to manage time and work to strict deadlines Desirable selection criteria • • Knowledge on digital pathology and deep learning algorithms Experience of working productively in a multi-disciplinary team . Pre-employment screening Standard checks If you are offered the post, the offer will be subject to standard pre-employment checks. You will be asked to provide: proof of your right-to-work in the UK; proof of your identity; and (if we haven’t done so already) we will contact the referees you have nominated. If you have previously worked for the University we will also verify key information such as your dates of employment and reason for leaving your previous role with the department/unit where you worked. You will also be asked to complete a health declaration so that you can tell us about any health conditions or disabilities for which you may need us to make appropriate adjustments. Please read the candidate notes on the University’s pre-employment screening procedures at: https://www.jobs.ox.ac.uk/pre-employment-checks About the University of Oxford Welcome to the University of Oxford. We aim to lead the world in research and education for the benefit of society both in the UK and globally. Oxford’s researchers engage with academic, commercial and cultural partners across the world to stimulate high-quality research and enable innovation through a broad range of social, policy and economic impacts. = We believe our strengths lie both in empowering individuals and teams to address fundamental questions of global significance, while providing all our staff with a welcoming and inclusive workplace that enables everyone to develop and do their best work. Recognising that diversity is our strength, vital for innovation and creativity, we aspire to build a truly diverse community which values and respects every individual’s unique contribution. While we have long traditions of scholarship, we are also forward-looking, creative and cuttingedge. Oxford is one of Europe's most entrepreneurial universities and we rank first in the UK for university spin-outs, and in recent years we have spun out 15-20 new companies every year. We are also recognised as leaders in support for social enterprise. Join us and you will find a unique, democratic and international community, a great range of staff benefits and access to a vibrant array of cultural activities in the beautiful city of Oxford. For more information, please visit www.ox.ac.uk/about/organisation. Medical Sciences Division The Medical Sciences Division is an internationally recognized centre of excellence for biomedical and clinical research and teaching, and the largest academic division in the University of Oxford. World-leading programmes, housed in state-of-the-art facilities, cover the full range of scientific endeavour from the molecule to the population. With our NHS partners we also foster the highest possible standards in patient care. For more information visit: www.medsci.ox.ac.uk The Nuffield Department of Clinical Neurosciences The Nuffield Department of Clinical Neurosciences (NDCN), led by Prof Kevin Talbot, has over 400 staff and 150 postgraduate students. NDCN has an established research and teaching portfolio with a national and international reputation for excellence. NDCN is based in high quality research and clinical facilities in the West Wing of the John Radcliffe Hospital, alongside the Department's world-class Wellcome Centre for Integrative Neuroimaging (WIN) and the Weatherall Institute of Molecular Medicine (which houses 3 of our research groups), and provides the ideal facilities to translate research from bench to bedside. In keeping with the award of NIHR Comprehensive Biomedical Research Centre status, to a partnership between Oxford University and the Oxford Radcliffe Hospitals NHS Trust, we have developed a highly integrated and interdisciplinary environment in which research, teaching, clinical training and clinical care interact. This enables us to establish new approaches to the understanding, diagnosis and treatment of brain diseases. To this end the Department fosters collaborations worldwide and warmly welcomes visiting scientists, clinical fellows and students. The Department comprises six sections: For more information visit: www.ndcn.ox.ac.uk Medical Research Council Brain Network Dynamics Unit The MRC BNDU is directed by Professor Peter Magill and is exceptionally multidisciplinary, integrating research programmes that span clinical, experimental and computational neuroscience. The Unit’s collective goal is to understand and exploit the moment-to-moment interactions between nerve cells that are critical for brain functions, with a special focus on the brain circuits underlying movement and memory. For more information visit: www.mrcbndu.ox.ac.uk Nuffield Division of Anaesthesia = NDA is led by Associate Professor Andrew Farmery. The NDA is committed to the development and maintenance of internationally competitive research programmes in pain and consciousness; respiration and hypoxia; adult and neuro-intensive care; simulation and human factors training. For more information visit www.nda.ox.ac.uk Division of Clinical Neurology DCN is led by Professor David Bennett. DCN is committed to the development of research programs that improve understanding of the nervous system in health and disease. For more information visit www.dcn.ox.ac.uk The Wellcome Centre for Integrative Neuroimaging (WIN) WIN is a multi-disciplinary neuroimaging research facility led by Heidi Johansen-Berg. WIN aims to bridge the gap between laboratory neuroscience and human health, by performing multi-scale studies spanning from animal models through to human populations. It focuses on the use of Magnetic Resonance Imaging (MRI) for neuroscience research, along with related technologies such as Transcranial Magnetic Stimulation, transcranial Direct Current Stimulation, MEG and EEG. WIN has core locations at the John Radcliffe Hospital (FMRIB), Warneford Hospital (OHBA) and University Science area (BSB). For more information visit www.win.ox.ac.uk Nuffield Laboratory of Ophthalmology NLO is led by Professor Russell Foster, who leads the Sleep & Circadian Neuroscience Institute. NLO pursues scientific and clinical research into a range of areas related to vision, the eye and circadian neuroscience. For more information visit www.nlo.ox.ac.uk Centre for the Prevention of Stroke & Dementia CPSD is led by Professor Peter Rothwell. The centre carries out research that increases understanding of the causes of cerebrovascular disease. Its aims are to improve prevention of stroke and dementia by earlier diagnosis, more reliable prognostication, and more effective use of existing preventive treatments in routine clinical practice. For more information visit www.cpsd.ox.ac.uk Working at NDCN NDCN actively promotes a healthy work life balance amongst employees through a number of family friendly policies. See https://hr.admin.ox.ac.uk/staff-benefits for further information. The University of Oxford is a member of the Athena SWAN Charter and holds an institutional Bronze Athena SWAN award. The Department of Clinical Neurosciences holds a departmental Silver Athena award in recognition of its efforts to introduce organisational and cultural practices that promote advancement of gender equality: representation, progression and success for all. = How to apply Applications are made through our online recruitment portal. Information about how to apply is available on our Jobs website https://www.jobs.ox.ac.uk/how-to-apply. Your application will be judged solely on the basis of how you demonstrate that you meet the selection criteria stated in the job description. As part of your application you will be asked to provide details of two referees and indicate whether we can contact them now. You will be asked to upload a CV and a supporting statement. The supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. 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Membership is free, and all researchers employed by Oxford University are welcome to join. Subscribe at researchstaff-subscribe@maillist.ox.ac.uk to join the mailing list to find out about upcoming events and other information for researchers, or contact the committee on committee@oxrss.ox.ac.uk. For more information, see www.ox.ac.uk/oxrss, Twitter @ResStaffOxford, and Facebook www.facebook.com/oxrss. = """^^ . . . "John Radcliffe Academic" . "occupies" . _:Nb382c61142aa40f6ad44ab34db5f949c "+44-1865-270000" . "site principal"@fr . . "university" . . . . "Wolfson Building" . "Estates identifier" . . . "Job Description" . . . . . "text/plain" . "postal code"@en . . . "way/304770480" . "51292900"^^ . "page" . . "Format"@en . . "sede principale"@it . . . . . "has site"@en . . . "Document" . . . "text/n3" . . "valid through (0..1)"@en . . "country name"@en . . "application/pdf" . . "7" . "John Radcliffe West Wing and Children's Hospital" . . .