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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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Foundation (DFG). This PhD project is dedicated to numerical modelling of WMT processes in the Skagerrak by applying Eulerian and Lagrangian analysis methods to quantify the mixing responsible for the WMT
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Work group: Institute of Coastal Ocean Dynamics Area of research: Other Part-Time Suitability: The position is suitable for part-time employment. Starting date: 12.06.2025 Job description: PhD
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to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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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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Ine-Therese Pedersen 15th August 2025 Languages English Norsk Bokmål English English PhD position in Deep Learning for Metocean Data Apply for this job See advertisement About us We are announcing a
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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academic record, with expertise in machine learning, statistical analysis, and numerical methods; ● Proficiency in Python (preferred) or related programming languages such as R, MATLAB, or C++; ● Experience