175 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at ETH Zurich
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background Our group builds high-throughput experimental platforms that require the development of novel computational methods. Two example areas in which the candidate would contribute are described below. 1
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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researcher to advance our understanding of magmatic and volcanic systems. Job description Develop and lead an independent research program in magmatic petrology, volcanology, and/or geochronology. Publish
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–performance relationships. At LESE, our research aims to obtain a fundamental understanding of materials that allow for the capture and/or conversion of CO2. This PhD position is funded by the National Centre
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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focusing on the physical realization of a next-generation high-speed AFM system tailored for biological research. Job description The Lead Mechatronics Engineer is responsible for the physical realization
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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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now be adopted for secretion recombinantly synthesized proteins for the first time. Job description The PhD-Student will perform the following tasks: Development of high throughput assays, typically
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, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into