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) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C
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proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills in English Candidates without a master’s degree have until
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” for formal requirements regarding the master’s degree. Good programming skills in Python. Previous experience with neural approaches and particularly generative language models is an advantage. Experience
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real-world case study. Unlike most research limited to simulations, this PhD will deploy and validate control strategies in real buildings over long periods. The supervision team is Prof. Laurent Georges
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preserve, access and develop knowledge over time with the support of automated reasoning. Different KRLs and tools were developed that make it possible to build semantic representations that can simplify
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., Python, MATLAB, etc.) The successful candidate must be enrolled in USN’s PhD program in Technology within three months of accession. For admission to the Programme, the weighted average grade of B
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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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meet the requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills. Experience with programming in Python or similar languages PLEASE NOTE
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meet the requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills. Experience with programming in Python or similar languages PLEASE NOTE
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge