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analysis skills (e.g., Python, MATLAB, LabVIEW). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you do not already have educational
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Language Models Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow) On top the candidate with two or more of the following will be an added advantage: Ability to conduct independent
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), it must be equiva-lent to a master in the Norwegian educational system Documented proficiency in scientific programming (e.g., Python) Documented proficiency in deep learning frameworks (e.g., PyTorch
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave
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have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded Experience with programming in Python is a
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years in the Norwegian educational system A solid background in scientific computing, for example Python Candidates without a master’s degree have until 1 October 2026 to complete the final exam. Desired
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machine learning (including deep learning and/or reinforcement learning) numerical simulation of quantum dynamics Proven programming skills (e.g., Python/Julia/C++), including experience with scientific
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of decay radiation for diagnosis or treatment. A solid background in scientific computing, including proficiency in Python programming. Fluent oral and written communication skills in English. Doctoral
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Python programming skills. Excellent skills in written and oral English. The candidate's research proposal must be closely connected to the call and the research of MAI. Personal suitability and motivation
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reinforcement learning) numerical simulation of quantum dynamics Proven programming skills (e.g., Python/Julia/C++), including experience with scientific computing tools Ability to communicate research results