176 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at ETH Zurich
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are: High motivation to conduct fundamental experimental research in an environmental context, driven by by curiosity and openness to new ideas, solutions, and technologies. The ability to engage in teamwork
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communication skills in English and German Persistence, drive, and strong self-organization, combined with a creative and innovative mindset that turns opportunities into action Genuine curiosity and enthusiasm
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MSc transcripts (in English or German) Motivation letter (~2 pages) describing your interests and relevant experience Contact details of two references Shortlisted applicants will be invited
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brain areas is essential for understanding how the brain performs all of its cognitive functions. Existing methods to interface with the brain have limitations in either temporal resolution
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brain areas is essential for understanding how the brain performs all of its cognitive functions. Existing methods to interface with the brain have limitations in either temporal resolution
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contributes to the development and operation of CMOS bioelectronics and biosensors at ETH IDEAS group. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity
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effectively. German language skills are beneficial. Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded...
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collaboration with an external group, validate its performance, and integrate it into a new generation of our brain imaging hardware. We are looking for an electrical engineer with strong experience in analog