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Geological Survey (Federal Office of Topography, swisstopo) as well as with other partners from industry and administration. We collect, compile and produce fundamental geological data mainly related
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), with hands-on experience in data generation and / or analysis. Proficiency in bioinformatics and computational data analysis, including experience with large-scale biological datasets. Solid
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support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses
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with global change. Research makes extensive use of global modeling tools (GEOS-Chem and CESM) and analysis of large observational datasets. The biosphere represents an important source of many reactive
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of how non-canonical building blocks for exciting macromolecules can cross a highly selective cell membrane so they can be used in the cell, remains unanswered. We have in the past made large strides
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experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets
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the bovine genome. We have collected large amounts of long read sequencing data (PacBio HiFi) to build genome assemblies and integrate them into pangenomes . This allowed us to investigate the distribution
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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80%-100%, Zurich, fixed-term The Swiss Data Science Center (SDSC) is a National Research Infrastructure jointly founded by EPFL and ETH Zurich and part of the ETH Domain. Its mandate is to support
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precision and minimal interruptions throughout a life cycle. Incorporating predictive models and advanced control using data opens up exciting new possibilities in this domain. The research activities