498 parallel-computing-numerical-methods Postdoctoral research jobs in United Kingdom
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quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s research community with access to internal research seminars and other
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objectives. To work with the Principal Investigator and other project members, as appropriate, to identify promising research directions, to develop new research methods, to implement those methods in computer
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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
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quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s research community with access to internal research seminars and other
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UKRI-funded programme of research called “SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System interventions for Equity”. This exciting opportunity offers for a postdoctoral
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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
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PREVIOUS APPLICANTS NEED NOT TO APPLY! We are seeking to appoint a Senior Postdoctoral Researcher in Genomics of Myeloid Disorders to join the computational genomics group led by Prof Schuster
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role in the delivery of a high-profile and innovative research project funded by NHS England. The LeDeR programme aims to analyse mortality data collected nationally and conduct deep dives in specific
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to projects involving designing, conducting, and disseminating health economic studies using prospective research study or routine data, decision analytic modelling, health outcome assessment methods and other
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models