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and management Strong experience in data engineering, including database management and large-scale data processing Ability to develop solutions independently based on project goals, with experience in
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sources, with the aim of generating high-quality thought leadership material for use in our executive education and MBA classes. You will be responsible for managing the whole case writing process
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front-end components and backend data processing systems. Agile development – Contribute to an agile development process with code reviews, and feature prioritization. Take ownership – Enjoy creative freedom
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, enthusiastic, and highly motivated doctoral student with a passion for science to join our team. Our research focuses on the process- and system-understanding of the biosphere- atmosphere greenhouse gas exchange
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are looking for a professional with more than five years of experience in the operation and management of HPC, AI, or Cloud infrastructures. Expected qualifications: Experience in the deployment of HPC, AI
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methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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ranging from 1,000 to 200,000 samples per second, is capable of observing magnitude negative five induced earthquakes at meters to 10’s of meter scales. All data is acquired and processed using SeisComP
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comprises a multi-disciplinary team of data and computer scientists and experts in several domains, with offices in Zürich, Lausanne, and Villigen. MeteoSwiss, the Federal office for Meteorology and
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino