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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
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development, and ultimately regeneration. The key focus includes cardiac and renal tissue engineering. You will adapt techniques established in the lab, and develop new approaches, as well as new methods
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to shape how humans and AI interact in high-stakes contexts. You will help define how AI can support—not replace—human judgment, ensuring that technology empowers rather than undermines trust and autonomy
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Nanomagnetism, supervised by Prof. Bert Koopmans, based at Eindhoven University of Technology. In this project, we aim to develop an optical pen using laser-induced magnetization dynamics and switching to write
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, and who enjoys mountains, hiking, and travel, as the position requires 1–2 months of fieldwork per year in high-alpine environments. If you are excited about working in stunning landscapes, enjoy flying
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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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Huskens, MNF is part of the Department of Molecules & Materials, while the group of Prof. Guido Mul, PCS is part of the Department of Chemical Engineering. Both groups are part of the MESA+ Institute and
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, paints, plastics and cosmetics. Beyond technology development, HyFINE focuses on training new experts and sharing knowledge to establish the Netherlands as a leader in green chemistry.(www.nwo.nl/en/news
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School of Economics. Your qualities We are looking for a talented researcher with passion for applied research, who meets multiple of the following requirements: a Master’s degree in economics or a related