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period of 4 years at the Eindhoven University of Technology, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be
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network, PNAS 121, e2319718121 (2024) Qualifications We seek candidates with a strong background in physics, mechanical engineering, materials science, or computer science with an interest in complex meta
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we offer: A 4-year fully funded PhD position at TU Delft. The opportunity to lead a pioneering project at the intersection of mechanics, materials, and machine learning. Collaboration with
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personalizing immunosuppression. The aim of this PhD project is to get a better understanding of the pathophysiology of ABMR, the mechanisms underlying DSA formation/ABMR, and the role of innate immunity, in
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, you will develop statistical and computational methods to uncover novel gene-disease associations, investigate disease mechanisms, and link genomic findings to clinical outcomes. You will be part of a
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to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting date is as soon
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funded PhD position invites applications from candidates interested in the intersection of computational design, robotic fabrication, and environmentally performative architecture. The research will
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contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. - A PhD training programme is part of the agreement
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directly through imaging. In this PhD project, you will combine synthetic, characterization and imaging tools to understand how chemistry-based imaging connects to continuum mechanics and allows us to
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research group ‘Biology of Archaea and Viruses’ is studying infection mechanisms