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Marie Sklodowska-Curie Innovative Training Network Early-Stage Researcher (ESR) Fellowship

Applications for this vacancy closed on 24 February 2020 at 12:00PM
<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><p>A fellowship position is available for a period of 3 years, tenable at Oxford University, on the project entitled &#8220;PersonaliseAF&#8221; to start before 1 July 2020. The successful applicant will be employed by the University on a Marie Sklodowska-Curie Innovative Training Network within the project &#8220;PersonalizeAF&#8221;, whose overall vision is to change the paradigm of classification and diagnosis of atrial fibrillation by delivering a precision medicine strategy based on the personalised characterisation of each atrial substrate and disease manifestation.</p><br> <p>The fellow will be part of the Computational Cardiovascular Science team (<a rel="nofollow" href="http://www.cs.ox.ac.uk/ccs">www.cs.ox.ac.uk/ccs</a>), supervised by Professor Blanca Rodriguez.</p><br> <p>The successful candidate will be registered for PhD training while employed by the University on a Marie Sklodowska-Curie Innovative Training Network, and will be expected to conduct research on the development of human atrial modelling and simulation technology informed by experimental and clinical datasets and to investigate interpatient variability in ionic mechanisms, atrial fibrillation patterns, and treatment efficacy after administration of drugs.</p><br> <p>Candidates must possess a masters degree in a relevant subject and the ability to manage research and related administrative activities, and should have experience of software programming and biophysical modelling and simulation.</p><br> <p>The EC funding for this position provides for a remuneration starting from &#163;37,805 p.a. Actual salary will depend on employer deductions, personal circumstances and the exchange rate applicable to the fellowship. This amount includes an annual living allowance and a mobility allowance (to cover the expenses associated with working in a different country). Under the terms of the EC funding, which aims to promote mobility within the research community, to be eligible for the post you must not have been resident in the UK for more than a total of 12 months in the past 3 years. Persons who have obtained a doctorate or had more than 4 years full-time research experience are ineligible. The start date is subject to discussion.</p><br> <p>An application should include a CV and evidence of how you meet the criteria for the role.</p><br> <p>The closing date for applications is 12.00 noon on 24 February 2020.</p> </div>
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Department of Computer Science, Wolfson Building, Parks Road, Oxford.
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oo:formalOrganization
oo:organizationPart
vacancy:applicationClosingDate
2020-02-24 12:00:00+00:00
vacancy:applicationOpeningDate
2020-01-24 09:00:00+00:00
vacancy:furtherParticulars
vacancy:internalApplicationsOnly
False
vacancy:salary
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A fellowship position is available for a period of 3 years, tenable at Oxford
University, on the project entitled “PersonaliseAF” to start before 1 July
2020. The successful applicant will be employed by the University on a Marie
Sklodowska-Curie Innovative Training Network within the project
“PersonalizeAF”, whose overall vision is to change the paradigm of
classification and diagnosis of atrial fibrillation by delivering a precision
medicine strategy based on the personalised characterisation of each atrial
substrate and disease manifestation.



The fellow will be part of the Computational Cardiovascular Science team
(www.cs.ox.ac.uk/ccs), supervised by Professor Blanca Rodriguez.



The successful candidate will ...

A fellowship position is available for a period of 3 years, tenable at Oxford University, on the project entitled “PersonaliseAF” to start before 1 July 2020. The successful applicant will be employed by the University on a Marie Sklodowska-Curie Innovative Training Network within the project “PersonalizeAF”, whose overall vision is to change the paradigm of classification and diagnosis of atrial fibrillation by delivering a precision medicine strategy based on the personalised characterisation of each atrial substrate and disease manifestation.


The fellow will be part of the Computational Cardiovascular Science team (www.cs.ox.ac.uk/ccs), supervised by Professor Blanca Rodriguez.


The successful ...

label
Marie Sklodowska-Curie Innovative Training Network Early-Stage Researcher (ESR) Fellowship
notation
145058
based near
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