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in bias mitigation. - Understanding human needs for bias mitigation – Understanding how individuals interact with biased AI systems to identify challenges and the types of support needed for effective
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M.W. Beijerinck Virology Prize Medical, Biomedical and Health Sciences Natural Sciences and Technology More The M.W. Beijerinck Virology Prize is awarded to an internationally renowned researcher
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team focused on preserving biodiversity and ecosystem functions, and understanding vegetation-climate-soil interactions. You will be co-supervised by the Meteorology & Air Quality Group at Wageningen
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areas include, amongst others, personalised and adaptive systems, user modelling and recommender systems, human interaction with embodied AI, and persuasive technology. You will work closely with other
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the Netherlands. There is growing pressure on agriculture and the entire food system to increase global production while promoting sustainability in terms of farmers' incomes, soil health, input use, and
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to societal developments, technology, international cooperation, new threats and vulnerabilities, etc. This leads to a need for new logistical operational concepts for land, with exploration of air and marine
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approach is to apply foundational techniques grounded in logic, semantics, and verification. This work takes place within the CYCLIC project: Cyclic Structures in Programs and Proofs, a collaboration among
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framework of responsible human-AI collaboration to better understand the role of human oversight in bias mitigation. Understanding human needs for bias mitigation – Understanding how individuals interact with
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technology, physical chemistry, or related disciplines; experience of working in a lab is essential. Basic knowledge on food ingredients, food structures and physical phenomena is needed; work in an
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under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials