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with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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carbonatite complex and associated REE and Nb mineralizations, represents a unique geological and economic resource. Ongoing geological studies aim to elucidate the formation processes and distribution
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18 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer
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complex, such as machine loading and unloading, or positioning of raw materials for specific processes. Batch production can make these processes irregular, thus configuration of a robot cell with fencing
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2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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13 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Technology » Telecommunications technology Researcher Profile First Stage Researcher (R1) Positions PhD
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complex physical phenomena than those represented in simulations, such as heating system dynamics or occupant behavior. Finally, existing legacy building automation systems may not be well-suited to support
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forming a sufficient basis for admission. Desired qualifications Some background knowledge in either (computational) Bayesian methods, or statistical learning for complex data, unsupervised learning
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
microstructure evolution during extrusion is critical for controlling final mechanical properties and surface appearance of extruded profiles, yet quantitative predictions remain challenging due to the complexity