637 data "https:" "https:" "https:" "https:" "INESC TEC" Fellowship positions in United Kingdom
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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Information below for the full list of essential and desirable criteria. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where
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laboratory and field trials using a range of geophysical equipment such as Ground Penetrating Radar or gravimeters (e.g. Scintrex CG6) to provide benchmark data as well as the quantum technology gravity
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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Capital.com, one of the world's leading trading platforms with millions of users, gaining unprecedented access to proprietary data to conduct frontier research. The project encompasses multiple research
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to the financial modelling of zero-emission vehicles, fleets, and associated infrastructure, including data analysis, impact assessment, and tool development. It will also involve interpreting and reporting total
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at the intersection of molecular genetics, chemical biology and data science, with strong scope for innovation and collaboration. Working closely with the team, you will drive experimental design, develop new methods
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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proficient in model development, programming, and matching models to data. For details on the experience and skills required, please refer to the job description as a PDF below. JD Research Fellow (111466).pdf
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will join a large team and assist with various aspects of research, including: (1) participant recruitment; (2) data collection; (3) data entry and data annotation; (4) project management; and (5