767 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Fellowship research jobs in United Kingdom
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environmentally sound management of the materials contained in lithium-ion batteries. Researchers at the University of Birmingham will be investigating separation technology efficiency and characterisation
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at Leeds and Reading are also members of the National Centre for Atmospheric Science (NCAS). The successful candidate will be fully integrated into this consortium, as well as becoming a member of the UKESM
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of study. The successful applicant will have an extensive knowledge of dynamical systems, computational neuroscience and data science. In addition, we expect the candidate to have: Experience of interdisciplinary
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events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study – microwave/antenna engineering, electromagnetic metamaterials, and/or shape-morphing
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and Infection, and the School of Infection, Inflammation and Immunology of the University of Birmingham. Person Specification Undergraduate degree in biological or biomedical sciences, and a PhD degree
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DETECTOR, amongst others. Although this is not a technical role, a good understanding of technology and emerging trends in technologies would be advantageous. The role holder will prepare and conduct
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Fibre lasers are now routinely used in the most advanced production lines for cutting, welding, 3D printing, and marking of a myriad of materials from glass to steel. The ability to precisely control the properties of the output laser beam and to focus it on the workpiece makes fibre lasers...
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existing team. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences and strives to maintain an environment where people can be their
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offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian inference methods and their astrophysical applications. Southampton's School of Mathematical Sciences is home to a