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experts and annual PhD symposia. The PhD project interfaces two rich fields of research: Physics of Living Matter and Physics of Complex Systems, with an overarching goal to understand the host-microbe
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data sharing platform developed in earlier projects, the student will develop interfaces for interacting with the ontologies, and related datasets, in a user-focused manner. This will involve both
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teaching by international experts and annual PhD symposia. The PhD project interfaces two rich fields of research: Physics of Living Matter and Physics of Complex Systems, with an overarching goal
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interdisciplinary research at the interface of forest pathology, molecular biology and plant biochemistry and offering a fully-funded PhD position in Tree defense metabolism and microbial interactions. Project
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Vacancies PhD position on Memristive Smart Materials for Information Processing Key takeaways This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing
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transferable skills, support for career development, lectures and teaching by international experts and annual PhD symposia. The PhD project interfaces two rich fields of research: Physics of Living Matter and
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motivated PhD candidate to investigate the interactions between wind and waves. Understanding energy and scalar fluxes across the air-sea interface is crucial for a number of environmental challenges
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 8 days ago
applications, including minimally invasive medical procedures and targeted delivery [1]. Precise magnetic actuation requires the use of bottom-up fabrication techniques in which magnetic interactions are well
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 7 days ago
kernel is currently out of reach, focusing on memory safety in drivers -- which typically interact with the kernel through well-defined interfaces -- offers a promising and tractable target for formal
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team players. Our working style is onsite-based, fostering close interaction and synergy amongst colleagues. If you are eager to contribute to transformative research at the interface of machine learning