260 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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to work within established research programmes. Applicants will ideally have knowledge of ultrasonic transducers, acoustic cavitation, high-frequency system design, robotic manipulation, AI-integrated
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research methods and techniques to work within established research programmes This is a full time (35 Hours per week), and you will be offered a fixed term contract until 31/08/2028. About You To be
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experiment will be an advantage. Candidates are expected to demonstrate the ability to communicate effectively, plan and execute research activities, and work in a team. Please direct enquiries about the role
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access to a 24-7 Employee Assistance Programme. Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps for children aged 5-16. Our family-friendly policies, including
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programmes, a proven ability to manage your own academic research and associated activities, experience of contributing to publications and presentations, and excellent communication skills, including
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specialist knowledge in the discipline to work within established research programmes, a proven ability to manage your own academic research and associated activities, experience of contributing
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques