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discussion to find out more about the role then please contact Professor John Terry: by email at john.terry@plymouth.ac.uk What we’re looking for You will have, or be close to completing, a PhD in mathematics
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If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7
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structures unavailable elsewhere. Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and collaborate closely with theorists in
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reproducible research software and scalable data analysis pipelines in Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable
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to enable effective reuse, repair and remanufacture of EEE. About you You should possess a relevant PhD/DPhil (e.g. in Engineering, Product Design) and have knowledge of relevant sustainability assessment
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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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: https://www.ncl.ac.uk/medical-sciences/research/institutes/ . Qualifications Close to completion of PhD in research area required (Research Assistant). PhD in chemistry, biochemistry, or a related
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of the Finnish Center for Artificial Intelligence
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outcomes in high-quality publications. Applicants must hold a good first degree and a PhD in the social sciences, with a doctoral thesis based on qualitative research methods. The PhD thesis should
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applicant will hold, or be close to completion of, a relevant PhD, together with appropriate research experience in conservation technology and its application to African carnivore ecology and conservation