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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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Stig Brøndbo 26th May 2025 Languages English English English Faculty of Health Sciences PhD Fellow EU MSCA Doctoral Network project: ENDAMR Apply for this job See advertisement The position A PhD
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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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, 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 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
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Detection and Machine Learning (IEL) PhD in Power Grid Modelling for Net-Zero Energy Systems (IEL) PhD in Incorporating Distribution Grids in Multiscale Stochastic Energy System Models (IØT) PhD in Aspects
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31st August 2025 Languages English English English The Department of Computer Science has two vacancies for PhD Candidates in Compiler Technologies Apply for this job See advertisement This is NTNU
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mechanics and AI. This project will advance precision medicine through collaboration with experts in cardiology and machine learning. The mitral valve (MV) ensures one-way blood flow between the left atrium
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or machine learning frameworks Good oral and written presentation skills in a Scandinavian language at level A2 or higher Personal characteristics To complete a doctoral degree (PhD), it is important that you
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centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital