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of dark matter particles in the decay of the gluinos. The search will be performed using the full ATLAS Run-3 13.6 TeV proton-proton collision data. The student will gain expertise in machine learning and
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the third Higgs boson decays to two tau leptons, or another highly sensitive combination. The student will gain expertise in machine learning techniques for signal-background discrimination and will
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teams in this dynamic field. About the Role You will: Teach across specialist areas of Creative Writing and contribute to the wider undergraduate and postgraduate English and Creative Writing curriculum
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will be spent on both aspects of the role. You should have a postgraduate degree in Statistics, machine learning or a related discipline and a track record of methodological research relevant to Prob_AI
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related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems
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machine learning and AI algorithms are transforming societies. The Centre is supported by £10 million in funding from the , for ten years, awarded through its 2025 Research Centre competition. Led by
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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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Location: Black Country & Marches Institute of Technology This is an exciting opportunity for an outstanding academic or practitioner to join a highly professional and motivated team to teach across
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-driven, technologically enhanced solutions for biodiversity conservation. For further information on this project and details of how to apply, please click on the 'Apply' button above and https
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for this position are: (1) Software Engineering (2) Computer Architecture and Operating System (3) Programming and Algorithms. Additionally, knowledge of Artificial Intelligence and Machine Learning and Data