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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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development and sabbatical leave. Candidates from outside the Netherlands may be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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. Candidates from outside the Netherlands may be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions . All our PhD
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be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions . All our PhD students are embedded in the Graduate
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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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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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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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to your application before 16 June 2025. Applications will be reviewed by the supervisors and recruitment committees. An interview could be part of the application process. Kindly note that we can only
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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