283 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" positions in Switzerland
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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., Cell Reports 2024). This discovery may spur further advances in reprogramming technology and lead to new therapeutic approaches in reproductive and cancer medicine. Your position You will actively
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Transcriptomics Specialist; Image Analysis Specialist (this position); Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
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Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
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100%, Zurich, fixed-term The Biomaterials Engineering research group in the Department of Health Sciences and Technology of ETH Zurich is seeking a Doctoral Student. Our lab develops advanced
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institution for cutting edge research with plenty of opportunities for collaborations across its faculties and with its university hospitals. The nearby Swiss Federal Institute of Technology is an additional
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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100%, Zurich, fixed-term ETH Zurich is one of the world-leading universities for science and technology. At ETH Zurich, researchers experience a climate which inspires top performance. Situated in
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. Isabella De Nitti at email idenitti@ethz.ch (no applications). Deadline: December 15. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even