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capacity to conduct world-leading research involving human biological samples, clinical collaborations, sensitive data, artificial intelligence, and biomedical innovation. To support this ambition, EPFL is
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-based venture developed at the Structural Xploration Lab, building the Reuse Viability Index (RVI), an AI system that predicts the reuse value of building components before demolition, using data from
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of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. As part of an industry collaboration with Novartis, the lab is opening a postdoctoral position on
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Technical Lead - Genome of Switzerland (GoS) Mission The Technical Lead / Genomic Data Engineer
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and data analysts. • Coordinate interactions with national and international initiatives, including Genome of Europe and related genomic data-sharing infrastructures. • Contribute to data governance
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Program Manager - Education and Innovation About the Swiss Data Science Center (SDSC) The Swiss
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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data needs. If you are passionate about cutting-edge IT infrastructure and motivated by enabling impactful research, we would love to hear from you. You will contribute to a diverse range of services
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in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School of Computer and Communication
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record-keeping, and the ability to communicate scientific and technical information clearly and precisely. Main duties and responsibilities Coordinate the day-to-day operation of the laboratories