116 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions at University of Oxford
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research aligned with the project aims outlined by Dr Pathania and funded by Ludwig Cancer Research. You will critically analyse, interpret and present experimental data with scientific rigor and
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and pre-clinical studies into clinical trials Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the
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and effectively. Informal enquiries may be addressed to david.howey@eng.ox.ac.uk and jack.umenberger@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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independently and as an effective member of a team. Informal enquiries may be addressed to Professor Byron Byrne (email: byron.byrne@eng.ox.ac.uk) For more information about working at the Department, see
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/test articles), intrusive probes, and optical diagnostics. You’ll plan and run test campaigns, analyse data to advance understanding of material–flow interaction, and disseminate results in seminars
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and selection criteria, as well as further information about the university and how to apply. The post is full time for a fixed term of 2 years in the first instance. Only applications received before
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developing new research methodologies • contributing to the development of new theories • analysing qualitative and/or quantitative data, reviewing refining as appropriate
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and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade. You will be responsible for advancing and
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consumer education. The post requires 2 days on site per week in either Park End Street, Oxford (where the post is based) or London (to collect data at the funding company). The remaining 3 days can be home
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blood samples for ex vivo and in vitro assays, with relevant specialist knowledge and experience designing, executing, and analysing data from single-cell & spatial RNA/TCR-seq experiments. Applications