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18 Apr 2026 Job Information Organisation/Company KU LEUVEN Research Field Agricultural sciences » Agricultural products Engineering » Agricultural engineering Engineering » Biomedical engineering Engineering » Computer engineering Engineering » Control engineering Engineering » Industrial...
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looking for a full-time (100%) doctoral scholarship holder in the field of “Development of a Zebrafish Model of SMAD3-Dependent Thoracic Aortic Aneurysm for In Vivo Drug Screening”. Join us in tackling a
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to establish a robust preclinical foundation for further clinical development. The position is available from September 2026 onwards. •You are about to receive/hold a Master’s degree in Biology, Biochemistry
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, for the preparation of a doctorate, contains: The PhD student will be working on the development of novel spectroscopic sensors, in the framework of the FWO-funded research project on Functionally
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division and differentiation, shaping the overall course of plant development. Importantly, the synergy and interdependence of hormone signalling pathways are critical for driving cell cycle progression
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Research Infrastructure? No Offer Description Chromatographic problem solving, commonly referred to as method development, is hugely complex, given the many chemical parameters that need to be optimized and
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data and therefore may fail to capture the dynamic, context-dependent nature of identity development and learning processes in young people.The IAmAI project proposes an innovative participatory
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constructive workplace that offers ample opportunities for personal development. Numerous opportunities for personal growth, illustrated by e.g., conference participation, “doctoral schools” courses
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). About the role Phytohormones play a central role in regulating cell division and differentiation, shaping the overall course of plant development. Importantly, the synergy and interdependence of hormone
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reinforcement learning algorithms and contribute to the joint development of the broader modelling and policy framework. Your work will focus on multi-criteria reinforcement learning, uncertainty-aware decision