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: +31317482024; Hannah van Zanten email: Hannah.vanzanten@wur.nl , phone number: +31633045914 Questions about the procedure? Get in touch with Edgar Tijhuis, Corporate Recruiter, via edgar.tijhuis@wur.nl. Ready to
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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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have the opportunity to design and conduct lab or survey experiments that reveal how people process economic information and form beliefs about future macroeconomics indicators. You'll have access
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understanding of the decision-making process of street-level workers. This PhD project ‘ICONIC’ (‘International Comparative research Of street-level decisions in superdiverse Neighbourhoods In Context’) funded by
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. This demands renewed understanding of the decision-making process of street-level workers. This PhD project ‘ICONIC’ (‘International Comparative research Of street-level decisions in superdiverse Neighbourhoods
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willingness to adopt gender-inclusive language. The PhD Project Linguistic strategies for integrating gender-inclusive language vary across languages. In Dutch, this process is in its early stages, particularly
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-inclusive language vary across languages. In Dutch, this process is in its early stages, particularly regarding pronominal change. While they have been taken up by the LGBTQ+ community and have gained some
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underrepresented 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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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