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-based workflows to evaluate stability, properties, and synthesizability-by-design in close collaboration with NTU Singapore. Develop software frameworks, APIs, and workflows for foundational machine
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to the everyday user. Given the strong prevalence of centralized cloud services, e.g. from Google, Microsoft, or Apple, our digital resilience and sovereignty is built on questionable foundations. By enabling
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning
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here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ
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at DTU here . Further information Further information may be obtained from Carlos Acevedo-Rocha: cargac@biosustain.dtu.dk Google Scholar profile: https://scholar.google.com/citations?hl=en&user
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ELEGANCE website: https://elegance.dtu.dk/ Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ More information about DTU Biosustain: www.biosustain.dtu.dk CPE group: https
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long with QC software stacks and programming models. Programming in C, C++, Fortran, Python, or other programming languages used in QC. Experience with cloud computing platforms (Azure/AWS/Google) and