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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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(EPSRC) and the Economic and Social Research Council (ESRC). The position would be suitable for an experienced PDRA or a near completed PhD writing up or undertaking post-viva corrections. Climate change
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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will hold, or be close to the completion of, a relevant PhD/DPhil together with relevant experience. You will have experience in experimental high-pressure and/or high-temperature research, ideally with
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31 August 2027. You should have obtained a PhD, or passed PhD viva, in Materials Science, Chemistry, Mechanical Engineering, or Chemical Engineering. If you are still awaiting your PhD to be awarded
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, or be very close to completion of, a PhD/DPhil in a subject relevant to the post preferably with experience equivalent to a post-doctoral level. You should have expertise in genomic and molecular
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participating in public engagement activities of the Ethox Centre. To be considered, you will hold (or be close to completion of) a PhD/DPhil in bioethics, medical ethics, or other relevant subject, possess
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and innovation, participate in regular online project meetings. Your skills and attributes for success: PhD in an appropriate discipline (e.g. biological sciences, biotechnology, biocatalysis, microbial
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, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods