238 parallel-computing-numerical-methods-"Simons-Foundation" positions in Switzerland

  • ETH Zurich | Switzerland | 5 days ago

    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

  • ETH Zurich | Switzerland | about 19 hours ago

    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

  • ETH Zurich | Switzerland | 8 days ago

    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

  • ETH Zurich | Switzerland | about 19 hours ago

    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

  • ETH Zurich | Switzerland | 17 days ago

    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

  • Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Friedrich Miescher Institute for Biomedical Research

  • ETH Zurich | Switzerland | about 19 hours ago

    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

  • ETH Zurich | Switzerland | 2 months ago

    100%, Zurich, fixed-term The CMR group at the Institute for Biomedical Engineering develops Magnetic Resonance (MR) technology and methods to assess the cardiovascular system. We devise the next

  • ETH Zurich | Switzerland | about 19 hours ago

    system design. We employ advanced computational methods, machine learning, modeling, and custom hardware and software to continually test our solutions in various real-world industry projects. In one

  • University of Zurich | Switzerland | about 15 hours ago

    DIZH understands innovation very broadly and includes all disciplines: artistic, design, natural science, technology, humanities, education and social science.

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