10 programming-"IMPRS-ML"-"IMPRS-ML" Fellowship research jobs at Imperial College London
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2
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Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2
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Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College
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Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College
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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
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Mission. You will deepen UKERC’s research capabilities, complementing existing strengths. You will build on a successful programme of activity focused on risk and investment in energy markets, working
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platform, and taking samples for blood biomarker testing. You will also actively participate more broadly in the research programme of the group. Medically qualified (MBBS or equivalent) and full GMC
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the grade and purpose of the post PhD in one of the following areas: Mathematical Modelling, Statistics, Infectious Disease Epidemiology or related subject or a similar quantitative discipline. Programming