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global center of knowledge. Qualifications Talented, enthusiastic candidates with excellent analytical and communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical
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collaborations with colleagues across domains! Selection criteria A MSc degree in Computer science, Applied Mathematics, Physics, or a related field; Good knowledge of and experienced with machine learning; Good
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English fluently and has obtained excellent results in the master phase. The PhD candidate should have a background (MSc/MA, preferably research master) in normative philosophy (ethics and/or epistemology
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the origin of chirality. We are looking for enthusiastic and talented candidates with A MSc degree in chemistry or a related field. A strong academic performance. A proactive attitude and the ability
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and interests: A MSc degree in a relevant field such as data science, econometrics, health economics, operations research, or a related discipline. A strong background in quantitative research, with
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Obtained a MSc degree, or equivalent, in Economics, Econometrics, and/or Finance, with excellent results. Demonstrated affinity with one or several of the following fields: energy economics, climate
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/ Information and application Please apply below with a motivation letter, CV, transcript of courses and grades, a copy of your MSc thesis and/or and indication of expected graduation date, and two references
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experimentation, and machine learning to help design the next generation of sustainable food ingredients and products. You also possess: a successfully completed MSc degree in food technology, food science, data
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the following additional documents: A letter of motivation An updated CV Letters of recommendation or contact details of 1 or 2 former supervisors The transcripts of your MSc studies Examples of previously
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processes. You also possess: A relevant MSc or PhD in plant sciences, biosystems engineering, physics and maths, data and model handling or a related field. Proven skills or an interest to evaluate