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develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data
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AI training is offered. Candidates will: Hold, or be near completion of, a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated
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documenting your findings as you exploit the dataset. During the project you will be working closely with Prof Brindley and her team, liaising with CLEFCC colleagues throughout the duration of the post. A PhD
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. Candidates will: Hold a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research
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. Candidates will: Hold, or be near completion of, a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing
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PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research projects. Have an
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, or be near completion of, a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative
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assessment. Stress testing & model robustness. Generative imaging models. Please see job description for a full list of requirements. *Candidates who have not yet been officially awarded their PhD will be
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. You will initially be appointed for two years, with the third year contigent on satisfactory performance and funding. You will hold a PhD* in in Astronomy, Planetary Science, or Physics or have an
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described above for PhD students, NIHR ACFs and CLs as well as attracting funding for clinical research fellows and doctoral research fellows. You will be expected to provide research opportunities and