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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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Deadline 15 Dec 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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credits or a Master’s degree (magisterexamen) of 60 credits* in Physics, Mathematics, Computer Science, or equivalent Excellent written and verbal communication skills in English Ability to program in high
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with catalysis/photochemistry Programming skills using Python and MATLAB Analysis of complex scientific data through machine learning What you will do Plan experiments together with your supervisor and
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demonstrated independent, high-quality research and potential to build a competitive research program. You also show interest in teaching and educational development. In particular, we will value: Experience in
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setting up empirical studies, collecting and maintaining data, data analysis tasks or programming tasks. You will have regular contact with the researcher about which elements and practical moments you can
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Bachelor’s degree is accepted. The following experience will strengthen your application: Experience in some of the following areas: programming, optimization. What you will do Take courses at an advanced
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: Programming experience in Python and/or Julia, MSc in geometric mechanics or geometric numerical integration, knowledge of PDE-theory. What you will do Take courses at an advanced level within the Graduate
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geometry, computational methods for stochastic (partial) differential equations, random fields, programming, mathematical statistics. What you will do Take courses at an advanced level within the Graduate
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Engineers within the international master’s programme Mobility Engineering. About the research project This project aims to improve ship energy performance through the integration of AI, big data analysis