403 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" scholarships in United Kingdom
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to Home Office security clearance requirements, applicants will need to have resided in the UK for the last 5-years. You can find further details at https://www.centre-ub.org/studentships/call-for
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to promoting a diverse and inclusive community, and offer a range of family friendly, inclusive employment policies. For further information on the WIRe scheme visit: https://cdtwire.com/ The project will be
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applications from all sections of society. How to submit your application Please complete the online application form via https://qpl.edgehill.ac.uk/apex_qlive/f?p=QL4S:LOGIN:::NO:SESSION:APP_SERVICE
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information from the Doctoral College website: https://www.herts.ac.uk/research/research-degrees-and-doctoral-college Interviews will take place: April 2026 (exact dates TBC) For informal enquires please email
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-making autonomy and human-machine teaming. The use of logic and data to make decisions, solve problems, and learn. Moving from rule-based systems to agents with strategic flexibility. The range and
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, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
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: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3@4a5378f9-29f4-4d3e-be89-669d03ada9d8 . Number Of Awards 1 Start Date 1st October 2026 Award Duration 3.5 years Application
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with NEOM, one of the world’s largest ecological restoration programmes, the project will develop machine-learning approaches to analyse satellite observations of vegetation change and evaluate large
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framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
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programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and