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technology. Working at the interface between soft robotic engineering and psychological science you will be expected to design and make devices, design and run behavioural experiments and surveys, analyse data
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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by July 31st, 2025 via the application portal. For more information on the Department of Materials Synthetic Biology, please see: Materials Synthetic Biology - INM If you have any questions or would
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the interview in person at City Campus. For informal enquiries and further information, please contact Prof Angus Pryor apryor@glos.ac.uk
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The Geoecology research group at the Department of Environmental Sciences, University of Basel (Switzerland) is looking for a PhD student candidate that will explore innovative research questions in
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information about the CDT, please visit the website or send an email to hello@fusion-engineering-cdt.ac.uk . The candidate should have a 1st / 2.1 class Undergraduate or Masters degree (or equivalent) in
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science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato
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of XYZs, higher order perturbative calculations inside effective field theories. The particle and nuclear theory group at the TUM School of Natural science is lead by Prof. N. Brambilla and Prof. A. Vairo
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partner universities. For further information about the CDT, please visit the website or send an email to hello@fusion-engineering-cdt.ac.uk . The candidate should have a 1st / 2.1 class Undergraduate or
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The studentship is with University of Salford and APOS Academic Supervisor: Prof Richard Jones Academic Co-Supervisor: Dr Carina Price Industrial Supervisors: Ganit Segal The studentship is fully