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22 Jul 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Informatics Computer science » Programming Language sciences » Linguistics Language sciences
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home...
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of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026
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their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework
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Engineering, visit rug.nl/fse . The successful candidate will join the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence within the Faculty of Science and Engineering at
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experience the minimum salary is € 3.204 and the maximum salary is € 4.051 gross per month for a full-time appointment (scale P cao Nederlandse Universiteiten/KNAW). This is exclusive of 8% vacation allowance
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Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226270 Is the Job related to staff position within a
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scientific importance. The computational work will be closely integrated with the experimenta research led by Dr. Bettina Baumgartner. The two PhD candidates will work across the work packages in parallel so
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integrated with the experimenta research led by Dr. Bettina Baumgartner. The two PhD candidates will work across the work packages in parallel so that experiments and computational simulations continuously
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integrated with the computational research led by Ioana Ilie. The two PhD candidates will work across the work packages in parallel so that experiments and computational simulations continuously inform each