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About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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an ongoing research programme on physician leadership and will be carried out in close interaction with relevant stakeholders and practice partners. It is highly recommended that interested candidates contact
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degree in marine technology or equivalent. Your course of study must correspond to a five-year Norwegian master program, where 120 credits have been obtained at master's level. Master's students in
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degree in Marine Technology, Mechanical Engineering or equivalent. Your course of study must correspond to a five-year Norwegian master program, where 120 credits have been obtained at master's level
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for fieldwork, conferences, and training Participation in the Graduate School's doctoral training program Job requirements We are looking for a candidate with strong research potential who is able to work both
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. The project will contribute to research within human–computer interaction and human factors on topics including: human–AI teaming in safety-critical work AI transparency and explain-ability in operational
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awarded an Australian Government Research Training Program (AGRTP) Scholarship or equivalent. The successful applicant will have the opportunity to work with Casella Family Brands . Prospective candidates
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that is still poorly understood. This project will develop advanced computational models to simulate a new imaging technique called electron ptychography, which can map magnetic fields in 3D at nanometre