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stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
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19 Aug 2026 Job Information Organisation/Company CNRS Department GULLIVER Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 8 Sep 2026 - 23:59 (UTC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
at University College Cork (UCC). The project is supported by Enterprise Ireland under the Innovation Partnership Programme, in partnership with EIRNABio industry partner. The successful candidate will
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diversity of platforms and building blocks. The foundry model is now becoming established where Process Design Kits (PDKs) allow fabless designers to create their own chips with custom functionality. While
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failure. The project includes implementation of an evidence-based digital support programme through the 1177 Support and Treatment platform in six Swedish regions. The work is conducted in close
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recognition events to colonization strategies. Within this framework, the advertised postdoctoral project is specifically focused on complex data analyses of plants for improved symbiotic associations with soil
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/ocular tissue, human PBMCs), Treg cultures, ELiSPOT, and ELISA. Complex murine tissue harvesting, islet cell isolation/transplantation, and blood collection. Systemic, local, and ocular injections, along
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5 Sep 2026 Job Information Organisation/Company University College Dublin Research Field Computer science » Other Computer science » Other Researcher Profile Recognised Researcher (R2) Application
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a