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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
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly detection Relevant experience with data from the maritime sector Language requirement: Good oral
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to a minimum of four years in the Norwegian educational system The candidate must have a strong quantitative background including experience in scientific programing (using e.g., Python, MATLAB, R
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scientific computing, for example Python Candidates without a master’s degree have until 1 October 2026 to complete the final exam. Desired qualifications: The following qualifications are considered strongly
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programming skills in R, Python or equivalent scientific computing languages. Strong R skills are particularly relevant for this project. Excellent written and oral communication skills in English. Desired
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ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication skills in English Desired qualifications: Publications in reputed journals and
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of statistical theory and methods and core machine learning methods. Documented Python programming skills. Excellent skills in written and oral English. The candidate's research proposal must be closely connected