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conferences. Co-supervise undergraduate and graduate student projects. Participate in undergraduate teaching. Selection Criteria: MSc degree (or considerable post-BSc research involvment) in Behavioral/Systems
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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Machine Learning modeling and optimization Generative AI modeling (closed-loop AI tools, or related AI-tools) Design of molecular binders Interest in mentoring MSc students and helping coordinate with
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requirements include successful graduation (MSc level) in one or several of the following disciplines: computer science, mathematics, some natural sciences, environmental informatics, bioinformatics
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. Job requirements General Requirements: MPhil or Research Master’s degree in Economics, Econometrics, Mathematics or Physics is preferred Candidates with an MSc or MA degree are required to successfully
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. Responsibilities and qualifications The nature of this project suggests that you should have a strong interest in the mathematical and theoretical aspects of machine learning. A solid background in mathematics (e.g
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relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will engage in
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activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will
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Universiteit van Amsterdam, Korteweg - de Vries Institute for Mathematics Position ID: 1729 -PHD [#26538] Position Title: Position Location: Amsterdam, Noord-Holland 1091, Netherlands (Kingdom
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highly talented and dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable