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at least one of the following fields: approximation of neural networks, convergence of Langevin/MC sampling, analysis and algorithm design of interacting particle systems, operator learning, regularity
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30th September 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Information Systems Apply for this job See advertisement This is NTNU
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, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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algorithms for fluid-structure interaction solvers What you will do Independently develop numerical methods and codes for fluid-structure interaction of wind-powered ships Carry out and analyse high-fidelity
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Overview We are seeking an experienced researcher to develop decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international research programme
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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principles problem formulations, algorithm development, systems designs, software implementations, and collection methods for specialized engineering applications, employing expertise in electrical and/or
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Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU