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interest in complex data analysis. Additionally, for Position #2 – modelling, you also possess: An MSc degree in computational biology or applied mathematics with an interest in biological systems Or: An MSc
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In the INFLAMES consortium (https://inflames-project.github.io
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, and combining cutting-edge measurement technologies with computational modelling. Job requirements We are seeking an ambitious, hands-on PhD candidate who is excited to push the boundaries
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and pharmacy. In close collaboration with partners from industry, healthcare, and society, we contribute to...
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Vacancies PhD Position on Neural Engineering/Computational Neuroscience/Biomedical Engineering Key takeaways We are seeking a highly motivated PhD candidate to join a multidisciplinary team working
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enjoy hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. Job requirements We are seeking an ambitious, hands-on PhD
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. Additionally, for Position #2 – modelling, you also possess: An MSc degree in computational biology or applied mathematics with an interest in biological systems Or: An MSc degree in plant or crop science, plant
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such goals via large-scale experiments or via simulation modelling? Then we have 2 PhD positions available, within the Dutch-Danish project Robotic Intercropping , within the focus areas ‘Agro-ecological
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, state-of-the-art modelling of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong computational mechanics profile
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help push the boundaries of urban wind modelling by developing efficient