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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
, psychiatric disorders (e.g., anxiety and fear disorders), and neurodegenerative diseases such as Alzheimer’s and Parkinson’s disease. The successful candidate will work at the interface of circuit neuroscience
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Researcher (R1) Positions PhD Positions Application Deadline 15 Aug 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39,5 Offer Starting Date 1 Sep
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century. www.sorbonne-universite.fr The Interfaces and Electrochemical Systems Laboratory (LISE, UMR 8235), a joint research unit of Sorbonne University and the CNRS, is a leading laboratory in the fields
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macromolecules, and hybrid materials. The recruited researcher will work in a structured academic environment, at the interface with a public–private research collaboration. The project will involve regular
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the Knowledge Foundation. The project aims to promote the development of inhalation-based drug therapy by clarifying how drug molecules, from small molecules to macromolecules, interact with the lung epithelium
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to promote the development of inhalation-based drug therapy by clarifying how drug molecules, from small molecules to macromolecules, interact with the lung epithelium during aerosolization and deposition
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automation and human decision-making into usable systems for AI-driven biological discovery. The work will include AI Co-Scientist architecture, agent orchestration, tool registries, model and data interfaces
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, including Large Language Models (LLMs), have demonstrated significant potential for supporting decision-making, interpreting complex technical information, and improving human-machine interaction. However
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tissues. We believe that outstanding science grows from curiosity, creativity and collaboration. Our laboratory provides a supportive and interactive environment where PhD students are encouraged to think
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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning