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and waste heat sources will need to integrate multiple supply options with varying temperature levels. To support effective planning, energy professionals at the district and city level must be able
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with additional biophysical features Apply the framework to morphogenetic problems based on imaging data Run large-scale simulations on ETH Zurich’s high-performance computing (HPC) infrastructure
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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developing and maintaining software systems essential for the operation and data processing of the HIRAX telescope array. This position offers a unique opportunity to contribute to groundbreaking astronomical
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instrumentation. Establish GMPEs for the Bedretto environment. Supervise the implementation of new methods and products in real-time operations. Contribute to network development, operation and data quality control
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and interpretation of large-scale datasets, in particular next generation sequencing (NGS) data. The team covers raw data processing, high-performance computing, statistical evaluation, interpretation
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for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements
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100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
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. Empa is a research institution of the ETH Domain. Our Laboratory for High Performance Ceramics in Dübendorf, near Zürich, is looking for a PhD Student within a project funded by the Swiss National
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the bacterial import process, optimizing the system for high performance, and then applying it to problems around therapeutic peptides and proteins. The focus of the work is experimental and will include a broad