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to further knowledge across the psychological and biological sciences and to solve major global challenges. About you You will hold a PhD/DPhil (or be close to completion) in neuroscience, psychology
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genome encodes gene expression levels. You will undertake large scale data generation from primary human samples using a method recently pioneered by the host laboratory (Hua et al., Nature 2021 https
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grants from national and international funding bodies You will hold a PhD/DPhil in Social Sciences or a related subject and possess a track record of original qualitative research and sufficient knowledge
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should possess: • A PhD/DPhil (or near completion) in Engineering, Materials Science, Physics, or a related field • Strong expertise in composite materials, their deformation and failure, and finite
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develop new scientific techniques, and test hypotheses and analyse scientific data from a variety of sources. You will contribute ideas for new research projects, develop ideas for generating research
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Buckley and will closely collaborate with other team members in Oxford such as Tissue Biology Lead Dr Matthias Friedrich, Computational/Bioinformatics Lead Dr Calliope Dendrou, Data Management Lead Prof
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of applying them to data. Collaborative endeavours with members of the IPMU and Oxford groups is highly encouraged. You will have the opportunity to teach. Applicants should have a PhD (or close to completion
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should hold a relevant PhD/DPhil (e.g. Tissue Engineering, Biomaterials, Biochemical Engineering) or be near completion*, together with experience in 3D cell/tissue culture, bioreactor design or perfusion
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responsible for the day-to-day administration of the research project leading on data collection from young people participants using cognitive, behavioural, and clinical measures via lab-based assessments and
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exploration and scale-up analysis. You should possess a PhD in (bio-)chemical engineering, bioengineering or another related field, with extensive experience in the mathematical modelling of biological