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PhD Project in Theoretical High Energy/Mathematical Physics Niels Bohr Institute Faculty of Science University of Copenhagen The Niels Bohr Institute invites applicants for a PhD fellowship in
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Polytechnique in Paris (France) and potentially also at the IE University in Madrid (Spain) and/or at Ivey Business School (Canada). You will work on developing mathematical optimization methodologies
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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Job Description Are you interested in putting science in direct benefit of society? We are offering a full PhD fellowship to explore how AI, Mathematical Optimization, and Game Theory can be used
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28 Aug 2025 Job Information Organisation/Company Graduate School of Arts, Aarhus University Department Faculty of Arts Research Field Arts Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 1 Oct 2025 - 23:59 (Europe/Copenhagen) Type of...
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute Department of Mathematics and Computer Science – is an internationally recognised academic
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. Mathematical modelling skills are of advantage. The candidates are expected to participate in the department’s teaching activities. You must have a two-year master's degree (120 ECTS points) or a similar degree
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computer science, mathematics, or a related field will be considered an asset. The position requires the ability to work independently as well as in collaboration with colleagues in a dynamic and international
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due
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addition to CSK from existing KBs) in targeted avenues such as multipurpose robots, along with mathematical modeling and algorithmic insights Counterbalancing issues such as bias, overfitting, and inexplicable