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-collaboration-in-biostatistics-and-artificial-intelligence-in-medicine As a Senior Postdoctoral Researcher, you will be responsible for planning and managing your own research programme within the collaboration
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew Jarvis to lead the processing of the MIGHTEE continuum and HI survey data. The role requires a high...
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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(l.clarke@mmu.ac.uk ) for informal discussions and/or questions regarding the ICDP (International Continental Drilling Program) NamCore project and the available NERC-funded PDRA position. We believe in
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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 degree in Engineering, Computer
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code, and make effective use of computational resources. • To conduct individual and collaborative research projects under the direction of the Principal Investigator and with other
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets