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/staff/s.grasso/), a leading expert in ceramics processing with over 300 publications and 28 patents, whose vision is to "develop better materials using less energy without critical elements" and whose
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candidate position must fulfil the requirements for doctoral students at Aalto University, School of Engineering. For more details, see: Aalto Doctoral Programme in Engineering What we offer We are pleased
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Location: Central Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on non-equilibrium turbulent flows over rough walls. The post holder will
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algorithmic learning.) The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a
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backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
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Fixed-term: Funds for this post are initially available for 2 years. This is an exciting opportunity to join new Bennett School of Public Policy (BSPP) at inception. The BSPP is part of the Faculty
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collaborative team engaged in a range of research projects in marine hydrodynamics, both computational and experimental. This is a fully on-site role, with work taking place in the office and laboratory. We
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. Demonstrable experience in the use of machine learning potentials. Ability to fit molecular mechanics force fields. A proven track record in developing computer code and software engineering. Excellent written
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Full-time: 35 hours per week Open-ended (permanent)/Fixed term: 31 August 2026 The project is looking to recruit research assistant(s) familiar in AI, NLP and financial computing to assist with
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advanced computational analysis of large-scale neural recordings. What you would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses