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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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information and advice on best-practice methodologies in machine learning/deep learning. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant quantitative field (e.g. biostatistics
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, available for up to 30 months, tenable immediately, to conclude before May 31st 2028. Intelligent agents have a venerable history in AI: since the 1980s the problem of how to build hardware and/or software
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biology and relevant methods e.g. protein/RNA assays, with an ability to manage your own research and administrative activities is essential. Excellent communication skills, and experience of following
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original ideas by building on existing concepts. It is essential that you hold a PhD/DPhil in Biochemistry, Chemistry, or Biophysics that involved working on major histocompatibility complex (MHC) proteins
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and funded by the Wellcome Trust for 12 months. The successful candidate will hold a PhD/DPhil in a relevant field together with post-qualification research experience and a strong publication record
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of inherited heart disease. Candidates should hold a PhD or MD with significant experience in cardiology, and experience in cardiac imaging (Echo andor CMR). A strong track-record of first author and/or senior
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working to accommodate family circumstances will be considered. The successful applicant will be a talented researcher, who has already produced excellent research during their PhD and in any postdoctoral
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must hold, or be close to completion of, a PhD in Immunology. Previous experience in MS research is not required, but experience with immune cell-based assays is essential. You should be highly motivated