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this position? Please send your application via the 'Apply now' button below before July 1, 2025, and include: A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, and
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University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
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. Organisation The Engineering and Technology institute Groningen (ENTEG) in which this position is embedded is the engineering science and technology institute of the University of Groningen, The Netherlands
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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classical disciplines such as mathematics, astronomy and mechanical engineering as well as interdisciplinary fields, such as artificial intelligence, pharmacy and evolutionary life sciences. Our community is
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documents via the ‘apply now’ button: a two-page cover letter describing: your research interests and how they match the position; evidence of your self-motivation and ability to work collaboratively; a