376 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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Coupled Plasma) torch design for high enthalpy thermal plasma flow. Developing/Validating computational models for a dual stage plasma torch. You should hold a PhD (or equivalent experience) in Plasma
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to the development of research programmes and methodologies including online and in-person workshops and field work with teachers Ability to routinely communicate complex and conceptual ideas to those with limited
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cancer: establishing mechanisms of adaptation to advance optimisation and stratification”. You will be expected to plan and conduct work using wet-lab approaches and methodologies and will be responsible
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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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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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rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine
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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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estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies