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5th October 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in wind-assisted ships Apply for this job See advertisement This is NTNU NTNU
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with computational modelling to contribute to safer flood defences. Job
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 4 hours ago
therefore needed to construct a deterministic computation out of these non-deterministic operations. Flow properties mathematically certify that a measurement-based computation is deterministic in a suitable
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, provide only limited insight into how such interference behaves at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You
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Vacancies PhD position in Mapping the Modern Electromagnetic Environment: Identifying Stray Currents in Complex, Interaction-Driven Systems Key takeaways The rapid electrification and digitalisation
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of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Civil or Hydraulic Engineering, or other appropriate fields. You will work on the project: DEEP
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PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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of the financial details section. About the scholarship This PhD project will explore how patient flow is best modelled and evaluated within complex hospital systems. The project will apply advanced statistical