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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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in our team by data analysis and modelling of the spray deposition process. New knowledge is required to understand and respond to temporal and spatial variability of spray deposition on plants and non
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meals for field teams, and renting and driving vehicles. Collecting and processing data, and ensuring regular backups to RUG and KNIR storage systems. Short stays at the KNIR Institute in Rome may be
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact
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intuitive, explainable tools for clinicians. Your Role You will work at the interface of signal processing, AI, and clinical neurophysiology. The project involves close collaboration with MST, the University
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of the different parties (involved in both electricity and heat chains) in local decision-making processes with the help of so-called ‘use cases’ in Groningen, Eindhoven, Nijmegen and Tilburg, alongside other new
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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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. The shift in species composition and the way organic matter is processed alters ecosystem dynamics. Most of the organisms that attach to these structures feed by filtering particles from the water, including
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both direct mechanisms like hunting and fire, and mechanisms that are more indirect and that are part of larger-scale processes, such as climate change. WMR is an applied research institute with 3
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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