218 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" PhD positions in Netherlands
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by a relevant master research project experience or course study); a theoretical background and an interest in inland-water carbon cycling especially methane processes, biogeochemistry, redox reactions
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September 1, 2025. An assessment may be part of the procedure, consisting of psychological tests and an interview. Application You may apply for this position until 15 June 11:59pm / before 16 June 2025 Dutch
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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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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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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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in the process (e.g. development of questionnaires). You will present the results at scientific conferences and in peer-reviewed scientific journals. At the end of the project, you will help organise a
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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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policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl
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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
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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