72 parallel-computing-numerical-methods-"DTU" Fellowship positions at University of Oslo
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
Deadline 31 Dec 2025 - 23:00 (Europe/Oslo) 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 programme Is
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and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations affect dynamic systems such as turbulence, water waves, and compressible
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the Research Council of Norway. The project’s goal is to develop mathematical and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations
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theoretical and computational modelling of the droplets and how they wet soft interphases. It is planned that the numerical simulations and theoretical predictions will help advance our understanding
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thesis being approved. Desired qualifications Experience with research on children, youth and digital technologies. Experience with empirical methods (qualitative, quantitative, mixed methods, and/or
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: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
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to the length of the candidate’s academic career (based on the length of the PhD program, the number of years since PhD, and career breaks). Personal suitability, motivation, and compatibility with the rest
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, and clinical data to advance understanding and prediction of dementia and related psychiatric disorders. The postdoctoral position is part of the “ResiliDem” project and the “Talent Utland” program
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expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory