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European regions are working together towards implementing and developing regional Smart Specialization Strategies that are continuously re-adjusted as part of a reflective monitoring process. You will be
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systems for European space vehicles, and related processes and facilities. You will also maintain close connections with the world-leading research communities involved in artificial intelligence/machine
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required in the organization of the logistics operations of educational processes to achieve a high quality situation where any learner at any time based on their own learning speed, level and ambition can
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groups in particular to apply. For more information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows
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stages of the selection process. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working
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employment. An employment contract for the duration of 26 months, ending by operation of law after this period. The candidate is expected to start in November 2025. Do you want to become a member of our team
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, assistant professor, via laura.winkens@wur.nl . For more information about the procedure, please contact Jouke van Oostenbrugge, corporate recruiter via recruitment.ssg@wur.nl Do you want to apply? You can
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, Associate Professor, by email: franzel.vanduijnhoven@wur.nl . Questions about the procedure? Get in touch with Rutger Voorrips, Corporate Recruiter, by email: rutger.voorrips@wur.nl . Ready to apply? Click
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Postdoctoral Researcher in Innovation&Investment Policy for Hydrogen Clusters in the EU(0.8-1.0 fte)
to address policy challenges, ensuring ethical considerations and social justice in the innovation process, and examining the impact of innovation on environmental and social sustainability. Our Institutes
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Internet Exchange (AMS-IX), and the Faculty of Science of the University of Amsterdam. About Research group The CWI Machine Learning research group focuses on how computer programs can learn from and