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. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical
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it into a longer programme of work and helping disseminate our research findings in imaginative and impactful ways. With a postgraduate degree and ideally a PhD (or be near to submitting a PhD, or
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organisations in a health and / or social care context. You will also have mixed-methods research expertise, with an emphasis on qualitative methods. With a PhD (or nearing completion of a PhD) in a health or
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MRC. The candidate will have a PhD and will have good experience in cell biology and tissue engineering. The candidate will also have experience of working both independently and as part of
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the atmosphere. You will have a PhD in a related discipline, with experience of using atmospheric models in tandem with empirical data relating to atmospheric species such as halocarbons. You will have a track
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implementing these using appropriate statistical software. You will have the opportunity to contribute to teaching and supervise MSc and/or PhD students. You will join a large, well-established group
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new code development would also be involved. Both options could also involve making comparisons with astronomical data. You will have a PhD in Mathematics, Astrophysics, or a closely allied discipline
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leakage risks. The candidate will have a PhD in Earth Science (Geology or Geophysics), and have experience of subsurface data interpretation, and a strong commitment to publishing scientific results and
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researchers who have been in receipt of EPSRC funding (fees and/or maintenance) during their PhD. To be eligible for this year’s scheme candidates must have a PhD (awarded after October 2024) or have sat
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Are you an early career researcher looking for your first challenge? Do you have a background in multi-drone coordination via distributed approaches such as collective and reinforcement learning? Do