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Prof. Yan Fyodorov as the project lead. The ideal candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered
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made to support people within their role. Contact Information Department contact for academic-related enquiries For informal enquiries please contact Prof. Peter Talling (peter.j.talling@durham.ac.uk
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=pubdate&size=200 ) for publications from the PI in this and related fields. The post is fixed term for 36 months, and the successful candidate will be working with Prof Martin Cann (PI; Dept of Biosciences
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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with the University of Nottingham, Ohio State University, and Florida State University. The successful applicant will work primarily with the UK PI Prof Ian Jermyn (Durham) and Co-I Prof Karthik Bharath
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project led by Prof Shi, to investigate how metabolic and epigenetic rewiring influences leukaemia progression under genetic or pharmacological interventions. You will manage your own academic research and
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required to take a lead role in all aspects of the project, contributing directly to the experiment and working closely with Prof Matthew Jones, collaborators within the HQSS consortium and outside, as
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Prof. İdil Gaziulusoy and supported by a team of leading design research experts in the Department of Design. Your experience and ambitions The successful candidate will have: A doctoral degree in
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have the opportunity to teach. The post is available initially for a fixed-term duration of 36 months. Please direct informal enquiries about the role to Prof Michael Johnston (michael.johnston
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databases. Based in the Centre for Primary Care at Whitechapel, you will join a creative, collaborative, multi-disciplinary research team, led by Dr Anna De Simoni and Prof Chris Griffiths from the Centre