354 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD scholarships in United Kingdom
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transitions Community and regional development Policy, governance and markets Experience of designing and employing qualitative research methods. Excellent interpersonal and teamworking skills https
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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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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
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training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
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expertise in programming (C++, Python), computer architectures and Deep Learning (PyTorch, TensorFlow). Exceptional international candidates may be eligible for a fee waiver (read the following section