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to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine
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to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering, or a related discipline. Be familiar with differential equations and have some
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering, or a related discipline. Be familiar with differential equations and have some
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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, Engineering Science or Applied Maths - with fluid mechanics included as part of the study. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received
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Science, Mechanical Engineering, Engineering Science or Applied Maths - with fluid mechanics included as part of the study. Appointment at Research Associate level is dependent on having a PhD. Those who
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Science, Mechanical Engineering, Engineering Science or Applied Maths - with fluid mechanics included as part of the study. Appointment at Research Associate level is dependent on having a PhD. Those who
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, Engineering Science or Applied Maths - with fluid mechanics included as part of the study. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received
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to applicants with a first-class or upper second-class degree (or equivalent) in any Engineering discipline, Physics or Maths. Please apply by submitting your CV, cover letter and transcript to