12 distributed-computing Postdoctoral positions at University of Cambridge in United Kingdom
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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atmospheric science, computational mathematics and physics. Experience with the Unified Model or atmospheric modelling is highly desirable but not essential. Experience with radiative transfer models
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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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analyses etc. to obtain biological insight. A background in neurobiology or a strong quantitative preparation (e.g. in bioinformatics/computer science) will be helpful. Successful candidates will join a team
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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. A background in neurobiology, anatomy and a very strong quantitative preparation (with extensive experience in bioinformatics/computer science) will be essential. Prior experience with Drosophila
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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
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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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cloning, synthetic biology, systems biology, computational modelling, and image analysis would also be valuable to the role. The successful applicant will be an excellent team player, highly solution