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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in climate change adaptation, human
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clinical, epidemiological, and immunological data. You should have a PhD, or be close to completion, in bioinformatics, computational biology, microbial genomics or a related discipline, together
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and
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://jordibures.wixsite.com/buresgroup The successful candidate will have a PhD in chemistry, with a proven track record in catalysis, organic and organometallic chemistry, and mechanistic investigation. The position is full
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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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collaborating with colleagues across Oxford with expertise in cryobiology, mitochondrial biology, reproductive medicine and metabolism. You will hold, or be close to completing, a PhD in reproductive biology
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will hold a PhD (or be close to completion) in Genetics, Biostatistics, Computational Biology, or a related discipline, together with relevant post-qualification research experience. You will have
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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posters. You should have a relevant PhD/DPhil in Chemistry, Chemical Biology or Biochemistry (or be close to completion), together with demonstrated knowledge of protein, sugar and/or lipid biomolecule