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the project from Day 1. The Institut des Sciences Chimiques de Rennes at the Université de Rennes is recruiting a PhD candidate in Electrochemistry to work on the ANR project HYBNA – Hybrid Biofilm
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and INRAE. TBI combines fundamental and applied research in the field of biotechnology, operating at the interface of fundamental research in biology, engineering of enzymes and processes. The institute
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PhD position: Nanoengineering refractory compositionally complex alloys for extreme conditions (M/F)
The doctoral candidate will join an internationally leading research environment at the interface between the Laboratoire des Sciences des Procédés et des Matériaux (LSPM-CNRS), under the supervision of Dr
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multidisciplinary team led by Valérie Caps (ICPEES/CNRS Chemistry) and Giovanni Manfredi (IPCMS/CNRS Physics), based at the CNRS Cronenbourg campus. Attached to ICPEES, the PhD student will have access to both
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project is part of a collaborative research program at the interface
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navigation depends on multisensory integration to generate internal representations of space and direction, including head direction (HD) signals. This PhD project aims to dissect multisensory (e.g., visuo
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involves five partners: the ILV (Versailles), the UCCS (Lille), the Genoscope (Evry), TBI (Toulouse) and the IRCELYON (Lyon). The PhD research will take place mainly at the Institut Lavoisier de Versailles
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on the flow in soap films and will help us better understand how surface viscosity affects foam drainage, bubble coalescence, and the aging of fluid interfaces. Where to apply Website https://emploi.cnrs.fr
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Description This is a fully funded PhD position for 3 years (2300 € (gross) per month) supported by the PEPR DIADEM program. The PhD candidate will be recruited in the framework of the AMMETIS (AI-assisted
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-chemistry and Reactivity of Surfaces and Interfaces Research Group - PhySI), Vandœuvre-lès-Nancy, France, and the Centre de Recherche en Automatique de Nancy (CRAN, UMR 7039 CNRS, BioSiS Research Team