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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters. Within the ERC-funded multiCODE project, we aim
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Materials, a newly established, dynamic research group focused on solving industrial challenges through groundbreaking material science. Your profile PhD in Material Science or a closely related field Strong
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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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The Faculty of Engineering, Department Elektronica en informatica, research group Electronics and Informatics: Research – Development - Innovation, is looking for a postdoctoral researcher. More
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researcher should have expertise in materials/mechanical/electrical engineering with an excellent understanding of fluid mechanics as well as experience with Arduino/Raspberry Pi programming, 3D printing and
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. The impact of microglia during the progression of neuropathology is dictated by their subtype composition – as different subsets will lead to different functional outcomes. Microglia transcriptional
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Postdoctoral researcher position. Mechanobiology in bioengineered neurodevelopment. Laboratory of...
Company description The Laboratory of Bioengineering an Morphogenesis is in the department of Mechanical Engineering at KU Leuven, Belgium and is affiliated with the Leuven Brain Institute (LBI) and
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the team. The preferred starting date is 1 December 2025. Profile You hold a PhD in Computer Science, Physics, Engineering or a discipline equally relevant to the topic of the job, or can demonstrate
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for postdoctoral researchers in international mobility Your PhD is within relevant area for the MINDFUL project (neurodegenerative diseases, organoid technology using guided and unguided differentiation, experience