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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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. 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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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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, head of NRL-AR, Wageningen Bioveterinary Research Houtribweg 39, 8221 RA Lelystad, +31320238404 or by mail kees.veldman@wur.nl Questions about the procedure? Get in touch with Ine van’t Land, Corporate
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While attention to animal health, welfare and rights is growing, little is known on how non-human animals can be represented in decision-making processes. Do you want to contribute to developing post