997 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs in United Kingdom
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leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and sports clubs Discounted bus travel and Season Ticket travel loans How to apply: Please
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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: Experience implementing Quantum Monte Carlo methods. Experience applying Machine Learning methods to scientific problems. About the School The School of Physical and Chemical Sciences is one of the UK’s elite
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will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
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holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
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manufacturer. Based on our publication (ACS Appl Nano Matter 2022, 10.1021/acsanm.2c03406) and our ongoing collaborative work, we have developed a new chemical assay coupled with a machine learning algorithm to
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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• A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of
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transformations. Combining automated reaction discovery simulations, microkinetic modelling, machine learning, and global optimization, this project will develop a new and exciting route to addressing one
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language processing for accessible science to contribute to the Terminology-Aware Machine Translation for Accessible Science (TaMTAS) project. The project is funded by EPSRC under the CHIST-ERA Call 2025: Science in