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supporting research activities, including contributing to background data analysis. You will have A Master/PhD in the Data Analytics, Computer Science, Finance, or a closely allied discipline. A strong
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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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mentoring on career progression. You will also share responsibility for delivering high quality undergraduate and postgraduate teaching programmes. You will have submitted your PhD/MD at the time you apply
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research methods (including experimental design and empirical data analysis). You will have a PhD in Colour (or related areas) with particular focus on user experience, and have a developing record of
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responsibility for delivering high quality undergraduate and postgraduate teaching programmes. You will have submitted your PhD/MD at the time you apply and will provide evidence that you have been fully awarded