63 software-verification-computer-science Fellowship positions at University of Nottingham
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The University of Nottingham seeks applications for a full-time Brewing Research Fellow to join our team at the International Centre of Brewing Science (ICBS) at Sutton Bonington Campus. The role
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We are developing groundbreaking robotics technology to extend robotic surgery to previously inaccessible parts of the complex industrial structures such aeroengine, enabling repair and inspection
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associate/ fellow, with a background in Computer Science or Software Engineering, with Human-Computer Interaction experience. You should have relevant knowledge of working on user-centred design projects
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engineering or a related discipline. Strong analytical, problem-solving, communication, and teamworking skills, along with experience in computational modelling are essential for the role. What we offer: - A
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. You will be responsible for supporting the delivery of a large National Institute for Health Research (NIHR) funded programme of research into eczema online trials, led in partnership with citizen
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software packages (for example Ansys or CST) for prediction of EMI Experience using typical circuit simulation software (for example SPICE, PLECS, PSIM) for electrical/electronic circuit simulation. Ideally
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data acquisition and interpretation are highly desirable. This is a collaborative project between the School of Pharmacy, The School of Computer Science, Physics and Astronomy, the School of Life
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. The Research Associate/Fellow will be a human computer interaction (HCI) specialist in qualitative (interview) data collection, analysis, and sensemaking. They should also have a broad understanding of
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/electronic engineering and research experience in motor drives and control and be committed to the practical application of research in this area. The ability to work in a team, lead both internally and
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on the estimation of parameters for newly developed models which decompose the drivers underlying decision-making. The work has a strong focus on developing better-explainable AI on the computer science side, while