128 parallel-computing-numerical-methods-"Simons-Foundation" positions at ETH Zurich in Switzerland
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, or HCI methods familiarity with adaptive systems or machine learning prior experience conducting user studies Beneficial background in computational interaction or adaptive systes knowledge of optimization
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
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applied computational techniques, so the role combines tasks in typesetting (LaTeX) and coding (Python). Job description Typeset and format lecture notes and problem sets using LaTeX Assist in developing
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lung and bladder barrier models (membrane-based organ-on-chip models) and for exposing those to bacteria and potential target drug compounds. A variety of analysis methods (fluorescence microscopy, mass
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of the SPUR group through a variety of activities, including: Conducting structured literature reviews; Collecting and analysing empirical data, using quantitative methods (e.g., surveys) and/or qualitative
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100%, Zurich, fixed-term The Distributed Computing Group is a research group at ETH Zurich. We are interested in various research topics on new and upcoming areas off the beaten path. Our three
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Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential for promoting our
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vehicles. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various
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metasurfaces to explore polycrystalline materials as quantum light sources. This will include exploring chemical synthesis routes for ternary metal-oxides and combining these with nanopatterning methods as
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evaporation, magnetron sputtering, spin-coating, photolithography, and plasma etching. Advanced optical and electronic methods will be used for device characterization. In line with our values , ETH Zurich