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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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authority. 2021: Nadine Akkerman Her publications on women's history, diplomacy and espionage in the early modern period are read by a wide audience and she uses innovative methods for her research. Nadine
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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of numerical, empirical, and theoretical techniques, with a special focus on decarbonization of the industry and energy sector in the EU and The Netherlands. The PhD position is embedded in the Centre
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five Dutch universities: the University of Twente, the University of Groningen, Leiden University, Radboud University, and Delft University. The Formal Methods and Tools (FMT) group at the University
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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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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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within the research programme are also warmly welcomed. The proposal should explain how the multidimensional research method is applied (as described in the research programme). In particular, we find it
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! We have a vacancy for a Researcher animal health and natural ingredients (24 – 32 hours a week). Our projects involve developing and improving analytical methods for growth promotors and veterinary