301 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions in Switzerland
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now be adopted for secretion recombinantly synthesized proteins for the first time. Job description The postdoctoral fellow will perform the following tasks: Development of high throughput assays
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to the research group’s teaching responsibilities, which involves teaching courses for ETH’s teacher training program in German. Further, the candidate should be prepared to co-mentor PhD students and to mentor
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performs research on nanomaterial engineering, micro-optics and microfluidics, which provides a wide range of opportunities for the PhD candidate. Your profile We are looking for suitable candidates with a
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technology development. The lab combines cutting-edge methods such as functional two-photon microscopy, high-density neuropixels electrophysiology and spatial biology research, alongside computational analyses
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be interested in this PhD project. The Atlantic Meridional Overturning Circulation (AMOC) is a major artery of global heat transport affecting European and global climate, which has substantially
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interdisciplinary research, we aim to translate innovative concepts into clinically relevant systems that expand access to high-quality medical care, while also exploring new fundamental aspects of robotics and
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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Observations; Stellar Variability; Time-Series Analysis Skills Development During the PhD, the student will develop expertise in: Ground-based exoplanet transit surveys Operation, installation, and commissioning
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for projects that show unconventional thinking and introduce a unique approach. The focus is on promising ideas of high originality for which preliminary data are not necessarily available (high-risk research
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, particularly with respect to fouling and moisture distribution. Understanding these parameters is essential for predicting long-term track performance and planning maintenance interventions. Project background