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invite applications for a PhD student in the area of ?parameterizing ocean mixing?. The position is initially limited for three years. Equal opportunity is an important part of our personnel policy. We
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address: Dr Fahad Panolan: f.panolan@leeds.ac.uk Project summary The Algorithms group at the University of Leeds (UK) is offering a fully funded 3.5-year PhD studentship on Parameterized Complexity and
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-resolution dosimeter, and new algorithms. Following this, the candidate will parameterize a Monte Carlo-based dose calculation system (e.g., GATE, TOPAS, or Geant4-based simulation tools) for evaluation in
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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on soil organic matter cycling Literature research and (meta-)analysis to provide evidence-based knowledge for model parameterization Quantify the coupled carbon and energy turnover of specific biomolecules
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candidate must have a PhD in ocean biogeochemistry, chemical oceanography, physical oceanography, ocean science, or similar field. Qualifications, skills and abilities Strong understanding of ocean
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14th September 2025 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Wind Turbine Noise Prediction in the Norwegian Context Apply
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: This position may require work beyond normal office hours and/or work on weekends Qualifications Required Education Appropriate PhD in a related field. Preferred Qualifications Prior experience in computational
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develop, test, and implement new, physics/AI hybrid parameterizations of subgrid-scale processes in the Climate Modeling Alliance’s (CliMA’s) Earth system model. The focus will be on atmospheric processes
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implementation, testing and further development of new machine-learning parameterizations for subgrid atmospheric processes (convection and turbulence) and observations-based nudging tendencies in the Community