47 machine-learning-phd Fellowship positions at University of Birmingham in United-States
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postdoctoral Research Fellow (RF) position for one year with a possible extension for one more year. The starting date is November or December 2025. This post will advance the application of Machine Learning (ML
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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department, recently ranked top in the UK for 4-star-category research by the Research Excellence Framework 2021. It has over 130 academic and research staff together with 120 PhD students, and a wide-ranging
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testing of machine learning/AI algorithms Integration of radiomic and biological datasets Working closely with Medical Physics colleagues on reviewing recommendations for detection of specific metabolites
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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PhD in polymer science experience in managing scientific projects alongside a demonstrable collaborative nature significant experience in polymer synthesis and characterisation, across a wide range of
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Strong analytical skills and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Excellent communication skills and proven ability to collaborate
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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new intellectual understanding Disseminate research findings for publication, research seminars, presentations etc Supervise students on research related work and provide guidance to PhD students where