11 postdoc-sensor-networks-"Multiple" positions at University of Basel in Switzerland
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human tissues. These gaps hinder the development of physiologically relevant laboratory models for drug discovery. As part of the Swiss research network http://www.nccr-antiresist.ch/ , the Bumann lab
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PostDocs in the group to express and characterize enzymes, develop analytical assays, and engineer enzymes using cutting-edge experimental and computational tools. Within the framework of BiONiX, you will
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probe microscopy. Our research focuses on using single electron spins in diamond as sensors to explore magnetic phenomena at the nanoscale. This doctoral project will center around the development and
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single electron spins in diamond as sensors to explore magnetic phenomena at the nanoscale. This doctoral project will center around the development and application of scanning magnetometry at ultra-low
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shared commitment to enabling entrepreneurship with real-world impact. You will have the task to design and run new acceleration, incubation, mentoring and networking activities, consolidating our existing
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a
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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -POSTDOC [#21540] Position Title: Position Type
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the University of Basel online application portal. Applications via other channels will not be considered. The application documents should comprise the following: Letter of motivation CV Net academic age
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international research networks. Internationally competitive salaries and social benefits are provided according to the rules of the University of Basel. The University of Basel (www.unibas.ch ) is the oldest
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to understanding the innervation landscape of peripheral tumors and its role in immuno-oncology. We are particularly interested in candidates who have previously worked on cellular and molecular networks underlying