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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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present the topic, the research problem(s) and choice of theory and methods. The proposal should also include a progress plan for the different parts of the project. Admittance to the PhD programme will be
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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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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong computational skills Background in structural reliability theory or probabilistic methods Knowledge
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structure methods within molecular response theory for molecules on surfaces and molecules under non-equilibrium conditions. The focus is to develop models which can describe how electronic charge transfer
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and the choice of theory and methodological approach for a potential project. This will be used in the assessment of the candidate's qualifications. Project outlines of high scientific quality in
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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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. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive