7,126 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in United Kingdom
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the teaching and research activities by demonstrating highest professional standard, academic integrity, and diversity of active learning and pedagogical tools. Successful candidates for this position
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The Digital Mental Health Group (https://www.orben.group/ ) is one of the UK's largest and most influential research teams investigating the impact of digital technologies on youth mental health
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. If you are interested in learning more about this position, please contact Professor Chanaka Jayawardhena (c.jayawardhena@surrey.ac.uk) . Further details Job Description Where to apply Website https
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. If you are interested in learning more about this position, please contact Professor Chanaka Jayawardhena (c.jayawardhena@surrey.ac.uk ). Further details Job Description Where to apply Website https
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of their capability to teach international business, corporate governance, risk management, and related subjects across undergraduate and postgraduate programmes. Industry experience, particularly in
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. For further information, please visit the SBS website . We seek to appoint a Lecturer in Digital Marketing Analytics. The successful candidate will demonstrate clear evidence of their capability to teach
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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Full time (35 hrs/wk), fixed term for up to seven months Remote place of work We are seeking an experienced and motivated Lead Learning Designer to join our Digital Learning and Media Services team
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, and advanced machine learning in the engineering domain. Generative AI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase
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Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify why some patients with triple negative breast cancer