342 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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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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environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
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Are you an enthusiastic, competent and proactive team player, who is highly motivated to learn? About the role We’re looking for a Quality Assurance Administrator to join the Faculty Quality Team
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appropriate C7 Self-motivation, initiative and independent thought/working C8 Problem solving skills including a flexible and pragmatic appropriate Desirable: D1 A background in machine learning as applied
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+to+apply#Howtoapply-Eligibility ) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in AI and at least one
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with
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develop our composite machining team. In this pivotal role, you will lead a diverse group of staff, fostering their skills in CNC programming and operation to efficiently undertake research relating
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of results. Highly motivated and have good communication, project management and organisational skills. Willing to learn new skills and techniques. Desirable Experience in proteomics and cancer models would be
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climate will warm and recover in a net-zero future. As part of this project, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques
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physical computing systems design. Our infrastructure supports disciplines ranging from engineering and physics to life sciences, climate modelling, machine learning and computer vision, and wider data