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the development of a high-quality, strategic and market-aligned undergraduate (UG) and postgraduate taught (PGT) programme portfolio Use data-driven insights to inform ESE decision-making and strategy
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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and eight bank holidays. • Employee Assistance Programme and Counseling Service- 24/7 support. • Supplier discounts, travel, and reward schemes. • Staff Networks, and well-being activities and
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flow in hybrid systems: improving the simulation of engineering structures”. As part of the project - jointly undertaken by the University of Nottingham and the University of Salford -, we offer a
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manager and the manager of your substantive post, if you are already undertaking a secondment role. Generous funding is available for travel, computing equipment, and personal development. If successful
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Fully Funded PhD Studentship (Home) in 4D Printing for Advanced Bioelectronics Contact: Supervisor: Dr Xiaolong Chen (Xiaolong.chen@nottingham.ac.uk) Faculty of Engineering, M3 Department, Advanced
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recognised qualifications. Personal and Career Development support, and opportunities for career progression. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel
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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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should have a strong mathematical background, particularly in dynamical systems theory, and a keen interest in network science, and scientific computation. The student will gain invaluable experience
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The School of Health Sciences (SHS) at the University of Nottingham, one of the four Schools in the Faculty of Medicine and Health Sciences, provides a range of undergraduate and postgraduate