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., Python/Julia/C++), including experience with scientific computing tools Ability to communicate research results clearly in written and oral English Desired qualifications: Experience with reinforcement
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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 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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master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded. Hands-on experience with numerical simulations (e.g., Python
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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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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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to calculate your points for admission. Emphasis is also placed on your: expertise in software tools related to simulation/optimization of energy systems, and coding using a high-level language (e.g. Python
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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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before the starting date Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Have programming experience in Python, specifically
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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