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within the SAMS Research Group (http://sams.ics-cnrs.unistra.fr/en/ ). PROJECT DESCRIPTION: The post-doctoral researcher will show that by integrating molecular motors into supramolecular self-assemblies
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Communauté d’universités et établissements de Toulouse | Toulouse, Midi Pyrenees | France | 2 months ago
Fellows conduct an independent research project hosted by an eligible Toulouse unit, with structured supervision, a Career Development Plan and advanced training (scientific & transferable skills). Key
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» Systems design Mathematics » Applied mathematics Physics » Applied physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 14 Feb 2026 - 23:59 (Europe/Paris
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). Your main research objectives will be to propose and design straightforward access (meaning specifically route scouting) to APIs by reactive twin screw extrusion mainly (i.e. continuous flow
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are looking for a postdoctoral researcher to join the ERC Pandora project team and work in collaboration with Karin Sigloch (Oxford University). Your work will involve the detailed analysis and design of
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, innovation and openness to the world. The university is structured in three faculties: « Art and Humanities », « Medicine » et « Science and Engineering » each disposing of an important autonomy in
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by contacting the Head of the NPP group: Dr. Michael Jentschel - email: jentsch@ill.eu (please do not send your application to this address). Where to apply Website https://jobstats.robopost.com/count
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for someone motivated to work in an interdisciplinary environment with good communication skills in English. Specific Requirements Responsibilities: ⎯ Design and execute experiments in mouse models of liver
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material