752 computer-science-intern "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United Kingdom
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for a highly motivated and talented researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant
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or biology. In this role, you will work closely with Dr. Lynn and other lab members, employing cutting-edge optical imaging tools and computational analyses to determine how spatial and temporal features
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, Chemical Engineering, Materials Science, Computational Engineering, or a related field. Prior knowledge, experience and achievements in multi-physics and CFD modelling of Electric Arc Furnace processes
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qualifications. Hold a PhD, or be close to completion (post-viva) in an area relevant to Mechanical Engineering, Metallurgy, Chemical Engineering, Materials Science, Computational Engineering, or a related field
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technology with CoSTAR. It is initially fixed-term upto May 2028 (extensible subject to funding). The role is based at the Centre for Vision, Speech & Signal Processing (CVSSP, University of Surrey), which
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science community at the School of Ocean and Earth Science and the National Oceanography Centre, working closely with our national and international partners. We are strongly motivated to improve climate
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designed to fulfil the requirements for an out-of-programme experience for a specialist trainee in oncology, haematology surgery, pathology or any other disciplines related to cancer, but may also be
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obtaining) a relevant PhD and have expertise in a relevant area of atmospheric science (or a related physical science). You will be able to demonstrate commitment to publication of original results
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skeletal muscle metabolism. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division of Physiology, Pharmacology and
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well as international collaborators to lead scientific projects on AGN identification, and measurement of supermassive black hole and host galaxy masses using imaging and spectroscopic data from ground and space. The