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of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part
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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 the guidelines
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: Judith.gulikers@wur.nl , For more information about the procedure, please contact Jouke van Oostenbrugge , corporate recruiter, by email: recruitment.ssg@wur.nl Do you want to apply? You can apply directly using
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will take place on Wednesday 10 September. You will preferably start your employment as soon as possible. We can imagine you're curious about our application procedure . It describes what you can expect
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the production of the greenhouse gas methane in coastal marine sediments worldwide. Methanotrophs play a key role in removing the methane through aerobic and anaerobic microbial processes. The efficiency
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
Postclassical Greek language, the process of composition of papyrus documents and the backgrounds of their writers. A multidisciplinary team of three researchers and a research assistant will analyse ancient
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to translate your findings into more efficient production processes and better quality control. Your work will directly promote sustainability through reduction of material waste in production and pigment
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of the steel processing and to act as virtual tool for the selection of new steel compositions and of optimum processing conditions. Advances in digital twins also lead to fewer experiments and less usage of raw