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P. Grey in the Yusuf Hamied Department of Chemistry, working on a project focused on understanding solid-state ion dynamics and phase transformations in lithium- and sodium-ion battery electrode
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Full-time: 35 hours per week Fixed-term: 12 months The Opportunity: We are looking for a researcher to join our group at the Centre for Science at Extreme Conditions (CSEC), belonging
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About Us The School of Immunology & Microbial Sciences at King’s College London (KCL), along with its Department of Infectious Diseases, enjoys international acclaim for employing a wide range of
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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM orchestration, with applications to Finance. This post is advertised as full-time (35 hours per week). We...
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choice theory, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
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computational, a good understanding of practical molecular biology will be important. It is expected that the holder of this post will take a leading role in producing analyses for publication and dissemination
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Grade 6 Research Assistant Essential Criteria 1. A Master’s level degree (or equivalent experience) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying