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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance
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methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s scientific and societal challenges. The candidate will
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Postdoctoral Research Associate ( Job Number: 25000740) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: 24 months Contracted Hours per Week
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you To be successful in this role you will be able to demonstrate the following: A PhD in a relevant subject area Knowledge of biopolymer chemistry, functionalisation and physicochemical
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visas. Person Specification Essential Criteria: Qualifications A good first degree in Statistics, Mathematics, Computer Science, or a related subject. A PhD (or be close to submission) in Statistics
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will apply a multi-disciplinary Team Science approach to deliver fundamental new insights into the role of S-acylation in cell physiology. The successful candidate will join an ongoing research program
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Disclosure and Barring Service Requirement: Not Applicable. Durham University Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in discipline of direct relevance to the work (e.g. molecular and cellular biology, immunology
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students and over 500 Single Honours undergraduate students. We offer a 3-year BSc degree programme in Biological Sciences and a 4-year MBiol, while also contributing to Natural Sciences. We also run a PGT