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, computational biology, machine-learning and big-data science. There will be opportunities to develop new models to explain differential responses of T cell populations during homeostasis, inflammation and cancer
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mitochondrial biology and cardiac cell research, combined with a drive to learn cutting-edge imaging methodologies and high-throughput metabolic assays. Experience with laboratory animal handling is essential
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integrated with the NiMARE (NMA) software project. To be considered you will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain
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range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of social and sports
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38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and sports
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include: (1) creation of real-time indicators of digital connectivity by gender at granular spatial resolution using social media, population and survey datasets, and statistical and machine learning
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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Dr Fabian Grabenhorst to play a key role in research on neurophysiology of learning and decision-making from nutrient rewards in animals (NHPs). The research is supported by the Wellcome Trust
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system planning, system modelling, multi-criteria decision analysis, data science, and machine learning. You will perform stakeholder engagement and on-the-ground data collection in LMIC contexts and
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at the Botnar Research Centre and will work closely with patient research partners, psychologists, statisticians, epidemiologists, machine-learning and AI experts, and clinicians of diverse specialties. In