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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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Details Title Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
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Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions) Apply for this job See
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UiO/Anders Lien 9th August 2026 Languages English English English Join Integreat in Norway! Eight PhD fellowships in machine learning await. Collaborate, innovate, and thrive! PhD Fellowships in
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• PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a related discipline. • Strong experimental research skills with a good publication record. • Experience in advanced materials synthesis, characterisation, and device fabrication. • Familiarity with...
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the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and
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globally. Learn more about Cranfield and our unique impact here . The Advanced Vehicle Engineering Centre focuses primarily on the development, application and evaluation of advanced vehicle technologies
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to inform service improvement. Help mental health services improve the support they offer to people with ongoing and severe mental health problems. Play a central role in the Mental Health Learning Systems
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the fields of Statecraft and Military Sciences, contribute to SST:CCW’s research outputs, support visiting fellows, and engage with academic and practitioner communities worldwide. The successful candidate
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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning