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materials. Another major challenge is enabling motors to function in aqueous media, which opens up numerous opportunities for integrating motors with biological systems, i.e. to design responsive biohybrid
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”. The candidate would become a member of the Computational & Numerical Mathematics group of the Mathematics Department and will work under the supervision of Dr Julian Koellermeier. Qualifications We are searching
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of the Dutch NWA consortium “PRELIFE”, https://www.originscenter.nl/prelife/ The origin of life remains one of science’s most profound and enduring mysteries. Despite numerous theories, no single explanation has
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sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies
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of numerical, empirical, and theoretical techniques, with a special focus on decarbonization of the industry and energy sector in the EU and The Netherlands. The PhD position is embedded in the Centre
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, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies that balance energy supply and demand, improve electricity grid flexibility, and
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Intelligence with the topic “Derivation and Analysis of Free-Surface Flow Models”. The candidate would become a member of the Computational & Numerical Mathematics group of the Mathematics Department and will
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-targeted properties. This includes development of polymerization methods, formulation of coatings and their testing. In additional to the academic advisor, the PD candidate will be in close collaboration
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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Engineering (FSE) contributes to this mission by training skilled professionals through our new EngD programme in Sustainable Process Design. This 2-year post-master design programme, closely collaborating with