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description Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the
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generalizable, learning-based frameworks for dexterous robotic manipulation that are robust to environmental variability and transferable across diverse underwater robotic platforms. As a PhD in this position
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Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the interface of machine learning, statistics, probability, and with
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transferable across diverse underwater robotic platforms. As a PhD in this position, your task will be to acquire new fundamental knowledge and develop key technologies for fully autonomous underwater vehicle
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» Geological engineering Engineering » Mechanical engineering Technology » Energy technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 19 Apr 2026 - 23:59
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19th April 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Hard Rock Geothermal Drilling and AI-Driven Drilling Optimization - IV-21/26
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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to SAFE. Delivering EVU course from SAFE center. Required selection criteria A PhD degree (or equivalent) in biometrics, information security, computer science, electrical engineering, or machine learning