505 computer-programmer-"Multiple"-"U"-"O.P"-"Prof"-"Prof"-"U.S" Fellowship positions in United Kingdom
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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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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The successful candidate...
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technologies are critical enabling components for a wide range of QT based applications including quantum sensing, timing and computing To achieve this your role will involve developing inverse methods and
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Health Regulations. Assist in project resource requirements and managing student projects. Job Requirements: Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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pursuing independent research and engaging with both US and UK public policy audiences. You will co-develop a plan for research with the Principal Investigator, involving both independent and collaborative
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with a strong background in computational modelling or scientific machine learning. You will also have the ability to conduct independent research and a developing track record of publications in
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programmes. Experience or potential in contributing to funding proposals and securing external research funding is highly desirable. Collaboration is key to this role, and you’ll demonstrate the ability
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The Opportunity: You will use a variety of analytical methods and coding techniques, including social computational approaches, to analyse how emotional and identity-based narratives and visuals
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can support both health and mobility outcomes. The successful candidate would be responsible for the more technical parts of this project, leading the computational modelling of charging infrastructure