24 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" PhD research jobs in United Kingdom
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well-structured projects, secondments, and training activities. This comprehensive approach ensures that the candidates acquire the multidisciplinary knowledge and skills required to address real-world
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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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/or quantum communications is desirable; evidence of rapid learning and strong research aptitude is essential. You must be willing and able to undertake international secondments and work effectively
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: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced Powertrain and Fuels (CAPF) at Brunel University London invites applications for a Research Assistant / PhD position as part of
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About the role: Are you ready to apply your materials-science expertise to deliver real-world innovation? We are seeking a Materials Innovation Associate to lead an exciting KTP between Materion UK Ltd and Imperial. The project will develop high-performance lightweight alloys and composites for...
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Technology. The ALTA institute brings together researchers from Computer Science, Engineering, and across the University to investigate new ways of using technology to enhance language learning and to develop
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Technology. The ALTA institute brings together researchers from Computer Science, Engineering, and across the University to investigate new ways of using technology to enhance language learning and to develop
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emphasis on developing the payload for the ESTCube-LuNa mission. Building on previous demonstrations such as ESTCube-1, ESTCube-2, and Foresail-1p, the project aims to apply lessons learned to create a more
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sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong