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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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or equivalent) in a STEM subject including Computer Science, Data Science, Engineering, Physics or Maths. A relevant MSc/MEng is desirable but strong candidates without postgraduate qualifications will be
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second) in maths, physics, computer science, electrical and electronic engineering, mechanical engineering or social science disciplines looking for a challenging research project in an interdisciplinary
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second) in maths, physics, computer science, electrical and electronic engineering, mechanical engineering or social science disciplines looking for a challenging research project in an interdisciplinary
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, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). or any enquiries about the project and the funding please email Rasa Remenyte
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driven research Maths competency and experience with statistics in research Software competency: ImageJ, Matlab, Graphpad Prism, R Evidence of Github use An interest in cardiovascular physiology
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development opportunities and intellectual enrichment through seminars, lectures, and symposia. The CSCA academic community includes faculty members, postdoctoral researchers, visiting professors, and current
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: Starting October 2025, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can
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: The studentships will be awarded based on outstanding academic achievement and the potential to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering
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(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) Applicants whose