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details of two academic referees (no letters of recommendation are needed for the application process) You may apply for this position until 10 June Dutch local time (CEST)/ before 11 June by means
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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the Netherlands. Do you want more information? For more information about this position, please contact Barbara van Mierlo, Associate Professor, by e-mail: barbara.vanmierlo@wur.nl Questions about the procedure
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, please contact dr. Claudia Wieners (c.e.wieners@uu.nl ). Do you have a questions about the application procedure? Please send an email to science.recruitment@uu.nl . Apply now As Utrecht University, we
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urgently needed. The PhD candidate’s objective will be to evaluate current and future port call processes using LCA and develop new marine environmental impact indicators. The results of the PhD research
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scholarship on the role of the cultural industries, and of creative work specifically, for broader processes of social and political transformations. We especially appreciate applications from candidates with
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selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode and European Commission's European Code of Conduct for recruitment of researchers
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opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. As you get going, you’ll gain
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-cultural processes, place and landscape valuation, socio-spatial dynamics, or urban–rural geographic models. • Is an enthusiastic researcher with affinity for both academic and practice-oriented research
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of Sight - How Visual Processing Develops in Brains and Machines. For animals, it is imperative to learn as quickly as possible. To do this, we know that the mammalian visual system utilizes "inductive