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An opportunity to join a pan-European network of PhD students decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology. You will be working on a project under the
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. The position requires the candidate meets the academic requirement to register for PhD at Imperial College London. The candidate needs to spend 6-8 months of secondment in consortium partner’s site in Sweden
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, epidemiologists and statisticians. This will entail assisting others to work towards their own specific aims and mentoring and training of team members, where appropriate. For Research Associate level: Hold a PhD
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and to help attract external research funding. You should hold a PhD in Cancer Biology and Cancer Immunology or a closely related discipline. You should have knowledge of cancer immunology and
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foundations and gravity. The position is aimed at candidates working in String Theory and Quantum Field Theory, broadly interpreted. You should hold a PhD (or equivalent) in Theoretical Physics or a closely
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Tolley, Arkady Tseytlin, Daniel Waldram, and Toby Wiseman. This is a fixed-term appointment for two years with potential extension subject to progress and funding. Applicants must hold a PhD (or equivalent
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theoretical and computational analyses of transport and exchange processes using high performance computing, to guide optimisation of cDTI measurements. Research Associate: Hold a PhD in applied computational
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technologies. Training in large-scale data integration, clinical research infrastructure, and applied computational methods, with opportunities to contribute to publications and future PhD fellowship
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undergraduate, Masters and/or PhD students. You are further expected to publish findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering
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Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed systems, cloud computing. Research Assistant: A strong Master’s degree in