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22nd February 2026 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in Quantum Condensed Matter Theory Apply for this job See advertisement This is NTNU
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interface of machine learning, statistics, probability, and with applications in statistical genetics, developing new theory, algorithms, and scalable implementations. Starting date as soon as possible and
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at the interface of machine learning, statistics, probability, and with applications in statistical genetics, developing new theory, algorithms, and scalable implementations. Starting date as soon as
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be met: Advanced methodological knowledge in the form of completed master's course or documented exam in methods / theory of science at master's level A Scientific article assumed in a peer-reviewed
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& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
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Fellow will join the Particle, Astroparticle and Cosmology Theory Group at the University of Stavanger, which conducts research in the following areas: QCD at high density and temperature Gravitational
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juveniles. Both global, regional and local perspectives and applications, across finfish and shellfish, are encouraged, with the aim to develop general theory around optimising marine spatial management
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will join and become part of an international research environment in quantum condensed matter theory and experiments The PhD candidatewill explore quantum many-body phenomena in emerging two-dimensional
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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description above, give a title, an outline of the research, including research problem/research question(s), theory, research method and the novelty of the research relative to the existing academic literature