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Vacancies within Nuffield Department of Women's and Reproductive Health
There are currently 2 vacancies within Nuffield Department of Women's and Reproductive Health:
| Title | Closes | Salary |
|---|---|---|
| Finance Officer | Aug. 5, 2024, noon | Standard Grade 5: £28,759 - £33,966 with a discretionary range to £37,099 per annum (pro-rata) |
| Postdoctoral Researcher in Machine Learning and Cancer | Aug. 5, 2024, noon | Grade 7: £36,024 to £44,263 (with a discretionary range to £48,350) per annum |
Finance Officer
Closes: Aug. 5, 2024, noon; salary: Standard Grade 5: £28,759 - £33,966 with a discretionary range to £37,099 per annum (pro-rata)
<div> <p></p><div>Do you have experience working in finance, with a good brain for numbers? Are you able to work effectively as part of a team?</div><br> <div> </div><br> <div>NDWRH is looking for a Finance Officer to join the Professional Services Team. Your core responsibilities will be financial, including leading on processing purchase orders and invoices, providing advice and supporting with deliveries, but you will also be part of the team supporting the effective running of the department's Reception area.</div><br> <div> </div><br> <div>You will be educated to GSCE standard with good attention to detail. Good IT skills, the ability to organise and prioritise work and excellent interpersonal skills will also be essential in this role. </div><br> <div> </div><br> <div>This is a permanent, full-time role (part-time may be considered). Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</div><br> <div> </div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application.  <a rel="nofollow" href="https://www.jobs.ox.ac.uk/cv-and-supporting-statement">Click here</a> for information and advice on writing an effective Supporting Statement.</div><br> <div> </div><br> <div>The closing date for applications is 12.00 noon on Monday 05 August 2024.</div> </div>Postdoctoral Researcher in Machine Learning and Cancer
Closes: Aug. 5, 2024, noon; salary: Grade 7: £36,024 to £44,263 (with a discretionary range to £48,350) per annum
<div> <p></p><div>The Nuffield Department of Women's & Reproductive Health is seeking a Postdoctoral Researcher in Machine Learning and Cancer to join Professor Christopher Yau's group at the Big Data Institute at the University of Oxford. </div><br> <div> </div><br> <div>The position is embedded within a research programme funded as part of a <a rel="nofollow" href="https://www.ukri.org/news/new-turing-ai-fellows-to-deliver-world-class-ai-research/">UKRI Turing AI Fellowship</a>. The role will focus on the development of state-of-the-art machine learning approaches for the analysis of spatial sequencing data of cancers in collaboration with the <a rel="nofollow" href="https://www.spatiallab.org/our-team">Jamieson Group</a> at the University of Glasgow. This is a unique opportunity to develop and apply AI to tackle key questions in cancer research, and is an ideal opportunity for a soon-to-complete or recent doctoral graduate seeking to switch disciplines into machine learning. An interest in biology or medicine is essential. The postholder should also be self-motivated, diligent and able to work individually or collaboratively. </div><br> <div> </div><br> <div>The successful candidate will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science, engineering) and possess experience of developing computational models.</div><br> <div> </div><br> <div>Please note:  this post is fixed-term for 12 months but must end by 31st December 2025. The post is available from 1st October 2024.</div><br> <div> </div><br> <div>Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</div><br> <div> </div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application.  <a rel="nofollow" href="https://www.jobs.ox.ac.uk/cv-and-supporting-statement">Click here</a> for information and advice on writing an effective Supporting Statement.</div><br> <div> </div><br> <div>The closing date for applications is 12.00 noon on Monday 5th August 2024. Interviews will be held in mid-August.</div> </div>