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of this mission. Within the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also
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gain insights into the time scales, strength, and interactions of different processes in the Earth system that play a role. You will investigate the observed annual cycle including interannual variations
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Vacancies PhD Candidate in Explainable AI for Earth Observation Key takeaways With the growing integration of Artificial Intelligence (AI) in geospatial decision-making processes, ensuring
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spatial development Experience with qualitative research related to planning processes, governance and instruments; Proficiency in Dutch (native speaker or level B2) to perform fieldwork. For this position
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and is affected by various biogeochemical processes. The processes governing ocean alkalinity act over multiple timescales (from instantaneous chemical equilibration to hundred thousand of years) and
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faces. At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results. In the Reinforcement Learning Lab
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will be guided to create interactive outreach throughout your research process in the form of visual media, installations, social media posts and other outlets. It is expected that PhD candidates spend
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include: Analysing large climate datasets to quantify and study mesoscale convective systems in tropical South America Use different modelling approaches to understand the processes driving extreme
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). Questions about the procedure? Get in touch with Dax Teunissen, Corporate Recruiter, via recruitment.asg@wur.nl. Ready to apply? Click on the application button next to the vacancy on our website. Only
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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