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Mar 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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) Positions PhD Positions Application Deadline 12 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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and quantitative imaging data Experience in computational modeling of gene regulation and morphogenesis Experience working on high-performance computing environments Personal skills Strong analytical
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, the work includes experimental work at international accelerator laboratories (CERN, SLAC, DESY and Daresbury) as well as high-performance computing work on supercomputers (LUMI). For this position, we
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among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be
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admission to the Faculty’s doctoral programme in Ecology within three months of starting in the position. The doctoral programme includes relevant courses corresponding to approximately six months of study, a
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topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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experience Desired qualifications: Experience with high-performance computing (HPC) environments is an advantage Previous modeling experience for relevant tasks will be an advantage Previous experience with
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Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The research group on statistical models for high-dimensional and functional data is part of the larger and active research