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Field
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networks Experience working collaboratively within a multidisciplinary research team Demonstrable career trajectory in AI Health Downloading a copy of our Job Description Full details of the role and the
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research
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We are looking for a researcher, whose expertise lies in wave simulations, to work with Prof Gregor Tanner and Dr Martin Richter on an EPSRC-funded project entitled “xDEA - Vibro-acoustic energy
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experience working with digital neural networks Experience mentoring junior research staff Demonstrable career trajectory in AI Health Downloading a copy of our Job Description Full details of the role and the
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. This Research Fellow position is
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inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a
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Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after
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Television Studies, Theatre and Performance Studies, History of Art, the Centre for Cultural and Media Policy Studies, and the Warwick Writing Programme. The Faculty also hosts a number of outstanding research