632 data "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs in United Kingdom
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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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@trinity.ox.ac.uk ) by 12 noon (UK time) on Monday 16th March 2026. Further particulars, selection criteria, and information on how to apply for this post can be found on the Trinity College website
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formation. The successful applicant will use recently obtained data from an ALMA high-priority project featuring the first simultaneous ALMA and VLA observations of the Orion Nebula Cluster, led by Jan
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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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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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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills
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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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, 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