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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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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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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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. About the role You will work closely with Prof. Ben Geiger and Prof. Karen Glaser as part of the Centre’s ‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with
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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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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
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as soon as possible. Please direct enquiries about the role to Prof Gianluca Gregori (Gianluca.gregori@physics.ox.ac.uk) Only applications received before midday (UK time) 14 May 2025 can be considered
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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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and application For more information about these positions please contact Prof. Nynke Dekker, e-mail: nynke.dekker@physics.ox.ac.uk Only applications received before midday 16 June 2025 can be
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key