34 neuroimaging-machine-learning-engineer PhD positions at NTNU Norwegian University of Science and Technology
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calculations Knowledge about machine learning application in condensed matter Knowledge about magnetism, superconductivity, and topological order Personal characteristics We are looking for a candidate who is
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mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
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engines, and reinforcement learning—can be adapted and extended for maritime design challenges. Research areas will cover some of the following themes: Generative methods for design documentation, including
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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synthetic biology, machine learning (ML), and ultrahigh-throughput screening (microfluidics) to discover new enzymes and bioactive molecules with applications in biotechnology, medicine, and sustainability
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machine learning, e.g. predicting rate of penetration (ROP) and wear. Investigate the possibilities in automation and robotization and the use of artificial intelligence. Electric drilling and other methods
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Computer Science, Artificial Intelligence, Data Sciecnce (with a focus on machine learning
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10 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Materials Science and Engineering Research Field Chemistry Engineering
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engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one
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12 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Physics Research Field Physics Researcher Profile First Stage Researcher