454 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" Postdoctoral research jobs in United Kingdom
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under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK
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inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across the Universities of Edinburgh, Oxford
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vitro cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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-of-the-art genealogy-based statistical inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across
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with sufficient specialist knowledge in normal and malignant haematopoiesis research. Experience of molecular biology, single cell gemonics and/or spatial transcriptomics techniques and data analysis will be
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to develop their scientific career and have an impact in the cell invasion and cancer fields. More information about our research can be found here: www.bci.qmul.ac.uk/staff/dr-pedro-monteiro About You Our
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research projects • Analysing complex data and generating original research ideas • Publishing in high‑impact journals and presenting at international conferences • Contributing to group strategy, funding
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reports and grant proposals. You should possess a PhD or DPhil (or near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to jakob@robots.ox.ac.uk For more information about
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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 Fluency in English Strong skills in
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information Informal enquiries are welcome and should be made to Professor Ian Eperon on eci@leicester.ac.uk Applications for job share will be considered. As part of the University’s ongoing commitment