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degree (PhD), it is important that you are: Willing to work both independently and to collaborate with other researchers Motivated and ambitious Curious, creative, and eager to learn. Emphasis will be
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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, space, and hippocampus in animal and human. Students have access to cutting-edge science and infrastructure across the KISN and NTNU. Additionally, we provide opportunities for PhD students to learn
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15th September 2025 Languages English English English The Department of Modern History and Society at NTNU (Trondheim) has a vacancy for a PhD Candidate in Modern Economic History Apply for this job
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from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We are offering a fully funded PhD position as part of a research project between NTNU and
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the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
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, machine learning techniques, and programming is highly desirable. Genuine interest in deep graph neural networks models. Personal characteristics To complete a doctoral degree (PhD), it is important that
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relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
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relevant background within control, building, or HVAC engineering. A background in applied mathematics can also be relevant if there is a strong focus on data-driven modeling, machine learning, and control