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science, mathematical modelling, data science, transport behaviour, or related fields? Then this PhD position might be the right for you. Ensuring sustainable mobility in dense urban areas is a big challenge faced by
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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development. As a colleague in the Section for Cognitive Systems, you will be part of a large, vibrant world-class research environment that is welcoming and internationally rooted. The university is in
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, teaching, and course development. As a colleague in the Section for Cognitive Systems, you will be part of a large, vibrant world-class research environment that is welcoming and internationally rooted
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of operating zinc-air batteries. Use automated Rietveld refinement for analysis of large data sets and Computed Tomography analysis of the imaging data. Dissemination of research results. Qualifications expected
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. This includes a large on-going contract with the Ministry of Transport, where we carry out policy support to solve the great challenges in the transport sector. The overreaching focus of the position is the
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meetings Potentially participate in Arctic field campaigns Be working with large data sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit
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well as abroad. Your primary tasks will be to: Using automotive lidars for detection of wind turbine blade deflection Development of efficient ways to analyze the automotive lidar data Develop the technology to
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also