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the general public, scientist and third party applications access the meteorological data, and in view of Open Government Data, new APIs, workflows and data processing framework are being developed. Job
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of Mechanical and Process Engineering, ETH Zurich). This interdisciplinary project investigates how the immune system responds to implanted materials, aiming to develop strategies that improve tissue integration
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driving these processes. Our long-term goal is to understand fundamental principles of environmental processes and to inspire sustainable technologies. This is a full-time position (100%), starting in
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Biology, Bioinformatics, Cancer Biology, Molecular Biology, Pathology, or a closely related discipline. Strong background in spatial omics technologies (e.g., spatial transcriptomics, high-plex imaging
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extensively employs multiomics tools in projects involving these research areas to advance our understanding of biological processes. The Functional Genomics Center Zurich (FGCZ) is a joint core facility of ETH
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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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Robotic Material via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building blocks of physical intelligence parallel to nodes and connections to artificial intelligence
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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acquisition, data processing and data analysis. The group is supported by IT and bioinformatics experts and by the metabolomics and genomics teams of the FGCZ to support multi-omics approaches. We are looking
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing