206 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions at University of Nottingham
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, China for a period of 5 years starting October 2026. This contract may be extended by mutual agreement. All applicants are required to formally apply online https://jobs.nottingham.edu.cn/job/184526/ by
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antagonists for scientific investigation of the P2Y2 R (Conroy et al., 2018 (https://doi.org/10.1021/acs.jmedchem.8b00139 ); Knight et al., 2024 (https://doi.org/10.1021/acsmedchemlett.4c00211) ). The role
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China invites applications for a Professor / Associate Professor in Econometrics with a strong specialization in Machine Learning and Data Science. The appointment is expected to begin in August 2026
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Techniques. Required expertise: Leading urbanism studios blending theory with project-based learning. Knowledge of Sustainable Urbanism (low-carbon design, climate adaptation), Smart Cities (digital twins, AI
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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited
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unit and individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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, Organisational Behaviour, Statistics, Machine Learning, and so on; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent
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an application via our on-line application system before 23:59 Beijing Time,30 April 2026 at https://jobs.nottingham.edu.cn/job/184518/ Only on-line applications made at (https://jobs.nottingham.edu.cn/ ) will be
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permit applications and providing general administrative support to the Security team. You will issue University access cards and car parking permits and will deal with lost property, notifying owners and