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Knowledge of Go, ideally also C, as well as Python and shell scripting Knowledge of software and system testing practices and tools Knowledge of computer networks, routing protocols, network protocols and
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advanced data mining and machine learning techniques, we will extract valuable data from databases, data repositories and non-strucured data sources (e.g. scientific articles and supplementary materials
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, develop methods to speed up this development by focusing on machine learning techniques to address sustainability challenges in chemistry research. We will explore novel pathways to process design and
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a Postdoc exploring pathways to a circular chemical industry. The position focuses
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operated by ETH Zurich and has offices in Lugano (headquarters) and Zurich. Project background As HPC and cloud technologies converge, CSCS strives to improve its service portfolio that focuses on large
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80%-100%, Zurich, fixed-term The ETH Zürich Geothermal Energy & Geofluids (GEG) Group investigates subsurface reactive fluid and geothermal energy transfer by developing and employing computer
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researchers from all disciplines represented at ETH Zurich, University of Zurich (UZH), and the Zurich University of the Arts (ZHdK) who face immediate political threat. If you have contact with a faculty
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100%, Zurich, permanent To support research and teaching, the IT Services of ETH Zurich operate as a service organization in a large and complex IT environment. We offer ETH Zurich members high
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2
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, or machine learning/data science applied to environmental problems. Project background Successful participants could use coupled global (CMIP) simulations, design and set up new model experiments using CESM2