113 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" Postdoctoral positions at University of Oxford
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We are seeking to appoint a highly motivated Senior Postdoctoral Researcher to join a newly established research group led by Dr Abdullah Khan . The Group engineer complex human models to dissect
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We are seeking to appoint a Postdoctoral Researcher in Immunology to join the group of Dr Yi-Ling Chen based in the CAMS Oxford Institute. The study will focus on discovering lipid antigens and
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About the role The Department of Biology is seeking to recruit a Postdoctoral Research Assistant to work under the supervision of Dr Laura Moody. The post is funded by the Royal Society for one year
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Lab (Principal Investigator: Dr Abhishek Banerjee) to lead experimental work on a Wellcome Trust-funded project exploring the mechanisms of behavioural flexibility. The project combines behavioural
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: Full Time (37.5 hours per week) About the role The lab of Dr Michael Ranes are seeking a talented Postdoctoral Research Associate to investigate the molecular mechanisms driving the Wnt/beta-catenin
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and chemical information, enabling deeper understanding
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific