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spectral energy distributions, flare populations, and particle environments across a range of stellar masses and ages, with direct applicability to studies of planetary atmospheric evolution. Starting from
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employees. English is the largest subject area at the department, with fourteen permanent academic staff members and several PhD candidates. The positions are distributed across the disciplines of literature
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/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously been employed in a
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Distributed machine learning takes advantage of communication and
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getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied
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24th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Distributed Machine Learning Apply for this job See advertisement This is
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and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time faculty members and several postdoctoral
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, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have
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teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be
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(researchers, postdocs, PhD research fellows, technicians). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year