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to research initiatives and external collaborations. Ideal candidate will be someone with an academic background and expertise in Electromechanical Systems, CAD (Solidworks), Machine Design and Manufacturing
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of disabilities that may impact upon student learning; health and wellbeing are crucial ingredients of effective study and play a key role in helping students enjoy a rich and fulfilling student experience. We
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or more of the following sub-disciplines: Cybersecurity; Cloud Computing; Computer Programming (C++, C#, python); Software Development; Mobile Application Development; Artificial Intelligence, Machine
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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant
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culture or legal practice-oriented and legal skills teaching. These posts are open both to those with a research background and to those with legal practice or teaching and learning experience who will be
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friendly team you will also receive: Working daily allowance for food and drinks* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension
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. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate
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agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an