31 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs at University of Nottingham
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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of Applied Psychology. For details, please refer to the link: https://research.nottingham.edu.cn/en/persons/hong-deng/ . Prof. Yanjun Guan is a Chair Professor at the Nottingham University Business School
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, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning or a closely related discipline, OR near to completion of a PhD. Expert knowledge of statistical inference methods
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or reinforcement learning, and good programming skills in Matlab and/or Python. You will have completed an undergraduate degree or MSc in a quantitative discipline. The Humphries’ group (https://www.humphries
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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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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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, 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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at https://www.advance-he.ac.uk/equality-charters/athena-swan-charter and on our website https://www.nottingham.ac.uk/chemistry/about/athena-swan.aspx If you are interested on this opportunity, please click
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z