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amorphous ice matrices, evolve from molecular clouds through star-forming regions to planetary systems. Laboratory simulations under astrophysically relevant conditions will provide key insights
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, OpenCV), GPU computing (e.g., CUDA), SLAM and point cloud processing (e.g., PCL). Familiarity with ROS-based development and Linux software tools is considered a fundamental asset. (30
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digital twins require more than visually plausible models: they require analysis‑ready geometry for simulation and decision support. This PhD project develops methods to generate LOD3 urban surface meshes
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on an HPC system or in the commercial computing cloud For further information about this position please contact nternette001@dundee.ac.uk . To find out more about the Group please visit https
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. Science 352, 208–212 (2016). In ICE-EEVOLVE, we seek to unravel how chiral organic molecules, trapped in amorphous ice matrices, evolve from molecular clouds through star-forming regions to planetary
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@nmbu.no Where to apply Website https://universitypositions.eu/jobs/168966379-phd-scholarship-combining-data-fr… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Additional
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Required PhD in Computer Science, Animal Science, Agricultural Economics, or relevant field and/or experience conducting similar work Proficiency in programming languages (Python, R) and database systems