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to the project topic Scandinavian language skills Documented experience with stochastic optimization Documented experience with energy system analysis Good knowledge of digital tools like Julia, Python, etc
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relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality
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journal article(s) / GitHub). Excellent communication skills in English, both oral and written. Documented experience with scientific programming (e.g., Python, Matlab, R). You must meet the requirements
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skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning
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one programming language, e.g. C++, Matlab, Java, Python, Julia or others PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
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and modelling Programming experience: R and/or Python Documented fluency in English. Nordic applicants can document their English capabilities by attaching their high school diploma Desired
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the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant publication(s) The following qualifications will count in the assessment of the applicants
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, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R