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the health and performance of humans in several situations (e.g. firefighters, who are exposed to extreme heat, or older adults who are exposed to heat stress during heat waves) by modeling the environment
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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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ETH’s high-performance computing (HPC) clusters A dynamic, interdisciplinary, and supportive research environment at the interface of biology, engineering, and computational science Flexibility
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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mutual learning. Access to high-performance computing. Terms of employment: The desired starting date is September 1st, 2025. We are looking for a postdoctoral researcher/senior scientist for an initial
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-read (Illumina) and long-read (Nanopore) platforms; implement hybrid metagenomics assembly strategies using high-performance computing infrastructure • Coordinate/supervise sample collection (clinical
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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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– support daily platform operations in collaboration with the development team, perform database updates and data integrity checks Content workflows – implement and manage content across languages and
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physically. - be a high school graduate under the age of 25 when applying for undergraduate programs - be a bachelor's degree holder under the age of 35 when applying for master's programs - be a master's