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. • Good IT skills, with knowledge of assistive technology. • Ability to work appropriately with sensitive information, following established procedures. Where and how you’ll work: This role is a full
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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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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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exciting opportunity to join the School of Computer Science (www.nottingham.edu.cn/go/cs ) within the Faculty of Science & Engineering based at the University of Nottingham Ningbo China (UNNC). The School
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participate in the dissemination of findings through publications and conferences. Qualifications: Completed or nearing completion of a Master's degree in Medicinal Chemistry, Chemical Engineering, or a related
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Eng at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Cold Spray based activities. BAE systems provide some of the world's most advanced, technology-led
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for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
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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