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on the development and application of advanced electronic structure calculations to explore the phase diagram and relevant properties of layered Ruddlesden-Popper-type nickelates. Project background Layered nickelates
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the Department of Biosystems Science and Engineering of the ETH Zurich and by the Roche Pharma Research and Early Development (pRED). The programme focuses on development of new tools and methods to resolve
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year, with a prospect of becoming indefinite) on the development of the data-analysis suite and pipeline infrastructure for the upcoming gravitational-wave space observatory LISA. In 2015, the LIGO–Virgo
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Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation
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interdisciplinary study programmes. Candidates with background in biology, bioengineering, biotechnology or microbiology with experiences in method and technology development are welcome to apply as well
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or microbiology, with a strong interest in technology development, are welcome to apply as well. The combination of biological and technological aspects is central in our group and in this project. A possible
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and
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. We are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and
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quality journals Personal and professional development support You will be based at Empa in St. Gallen (Claudia Som, principal supervisor, Dr. Roland Hischier and Prof. Dr. Bernd Nowack, co-supervisors) and