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inference of diffusion models and LLMs. The applicant should have a strong background in machine learning and maths.
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maths, physics, mechanical or materials engineering or a closely related discipline is essential. A Masters-level degree or publication record in any of the above fields would be advantageous. Good
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that will advance our understanding of human perception, we would be very pleased to hear from you. Entry requirements 2:1 in a Bachelor’s degree (psychology, neuroscience, cognitive science, maths) and
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characterised by the property that all critical points belong to attracting basins. Bergweiler, Fagella and Rempe ([BFR], Comm. Math. Helvetici 2015) studied bounded Fatou components of hyperbolic transcendental
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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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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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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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, 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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: 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