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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is building a talented and diverse international team to create a cutting-edge program in the heart of Copenhagen at the Niels Bohr Institute
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
doctoral program at CERN, and will have access to experimental facilities at both institutions. The position includes a mobility component of up to two years at CERN, undertaken within CERN's Technology
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
twins to replace hands-on training? Do you want to engage in a career within didactics of STEM (Science, Technology, Engineering and Mathematics) education? This PhD project is a part of the ACCESS
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a PhD stipend is available within the general study programme Planning and Development. The stipend is
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of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained
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researchers club ASAP and our own PhD programme, MoMeD. Terms of employment The position is a fixed-term position limited to a period of two years. The starting date is 01.10.2026 or after agreement. Salary
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic