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to develop and apply our micro‑economic models. Knowledge of programming languages (Python, R, and GAMS) or a strong willingness to learn them. You will work in both a Dutch and international environment
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sciences. Ability to teach in English. Preferred Qualifications: Research focus on “majority world”, outside of Western Europe/US and/or an ability or willingness to engage academically with the city of
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oppressed groups; i.e. skills in managing “uncomfortable” conversations about inequalities among students Expertise in conducting research and publishing in the social sciences Ability to teach in English
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mitigation strategies. The results will support the development of evidence-based conservation protocols and can provide a learning dataset for AI informed decision that is still lacking in the domain. What we
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. HERITOUR is a collaboration between Erasmus University Rotterdam, University of Stavanger, Middle East Technical University, University of Aruba, Mid Sweden University, and the University of Granada
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for applications is 22 March 2026. For enquiries, please contact the secretariat at the Language & Genetics Department (E-mail: secretariat.genetics@mpi.nl ). The employer About our institute The Max Planck
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for transport You hold, or will shortly acquire, a Master’s degree in a related discipline. Ability and passion for operating at the intersection of different fields, particularly transport engineering and
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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will have the following responsibilities and tasks: You conduct empirical research that fits within the section Forensic Psychology; You teach in the two-year Master program Forensic Psychology and the
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning