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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is
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close to the completion of a relevant PhD/DPhil in statistical genetics or related field. A proven track record of method development in statistical genetic and the ability to manage your own academic
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research
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to contribute to them will also be considered. This project has a strong emphasis on applications on physical robots, experience and appetite to face the challenge of applying learning algorithms on physical
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experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong theoretical and practical background in semiconductor device
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small-scale project management and to co-ordinate multiple aspects of work to meet deadlines. About you You will hold a PhD/Dphil (or near to completion) in molecular biology or cancer biology with
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will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be
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full-time/part-time post is available from 13th October 2025 and is fixed term for 2 years in the first instance with the possibility to extend for a further 3. About you You will hold a PhD/DPhil (or
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track