366 evolution "https:" "https:" "https:" "CMU Portugal Program FCT" positions in Switzerland
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. Publications in major international peer-reviewed journals. START DATE: October 1st, 2026 or upon agreement Mandatory online registration before February 6th 2026 at: http://www.unige.ch/academ Further enquiries
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collaborative research. In your application, please refer to myScience and reference JobID 68826. Where to apply Website https://www.myscience.ch/jobs/id68826-chair_of_excellence_associate_or_full_pro
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Statistics → includes enhanced salary compared to standard PhD funding in Switzerland. Website for additional job details https://www.izb.unibe.ch/about_us/open_positions/index_eng.html Work Location(s) Number
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Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation of antimicrobial coatings. This project aims to tackle the growing challenge
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cellular biology. The position is available from 1 February 2026. The initial contract will be for one year. For more information on research in the Hondele lab see: https://www.biozentrum.unibas.ch/research
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development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ
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employees, we are a lively and dynamic international community of researchers who investigate with curiosity biological phenomena ranging from interactions of molecules to growth, development and behavior
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
approximately 600 people, of whom 10 are based in Cadenazzo. The Insubric Ecosystems research group is based in Cadenazzo, Ticino, where it investigates the evolution of forest ecosystems and future trends in
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and Kähler geometry, differential topology, geometric evolutions, geometric PDEs, and applications of differential geometry to physics. Candidates should hold a PhD and have an outstanding record
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candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation & continual learning, agentic