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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 21 hours ago
physics (phase transitions), chemistry (chemical reactions) and biology (protein folding, interaction with ligands, formation and dissociation of complexes). The project builds upon two previous PhD theses
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 20 hours ago
Engineering » Process engineering Engineering » Water resources engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam
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the local molecular composition and transient interactions of molecules within glycocalyces, and missing physics rules to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows
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2026 entry, a number of CPD PhD studentships will be awarded to work in this broad area. More specifically, these will be associated with Core CPD groups of Professor Dek Woolfson (CPD Director; https
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the local molecular composition and transient interactions of molecules within glycocalyces, and missing physics rules to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows
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3 Mar 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited researcher will study the interaction of a
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. First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form using the following link: https://www.sheffield.ac.uk/postgraduate
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interactions at interfaces, you will develop a comprehensive predictive model describing the strength of binding, conformations and behaviour of surface-active agents at interfaces that will enable the de novo