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problem‑based learning (PBL), applied learning including simulation, and a strong emphasis on early patient contact. You will to be responsible for designing and developing learning materials and will make
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to undertake a 4-year, enhanced stipend PhD studentship, within the Digital Metal CDT https://digitalmetal-cdt.ac.uk/ at the University of Nottingham. The Centre for Excellence in Coatings & Surface Eng
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benefits, please copy and paste this link into your browser: https://www.uwtsd.ac.uk/jobs - This role is not eligible for sponsorship in line with Home Office salary threshold requirements https://www.gov.uk
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of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk
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specification, as well as an indication of the reasons for your interest in this opportunity. Completed applications should be uploaded at https://plusportal.perrettlaver.com/VacancyDetail/f489f8ce-0fd8-33e1-0ca9
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level, to further the understanding of key course topics and assist students in drawing out key learning points from course materials. Main Duties and Responsibilities 1.Contribute to the planning
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of knowledge in the subject of Robotics to develop research in the field, e.g., robot design, control and mechatronics; 4. Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T
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the third Higgs boson decays to two tau leptons, or another highly sensitive combination. The student will gain expertise in machine learning techniques for signal-background discrimination and will
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cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with
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this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://sheffield.ac.uk/postgraduate/phd