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that learn from limited resources, adapt locally to users and environments, and remain computationally efficient. These models will be explored and benchmarked in software, with selected approaches translated
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mentor students. Use and maintain lab resources on HPC and Github. Tools you will use daily include Python and R, version control (Git), and HPC schedulers. Profile The ideal candidate will have: at least
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coupling, decentralized energy systems, multi-energy systems, energy economics, resource assessment methods using GIS. High motivation, ambition and enthusiasm about energy research, an analytical mindset
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communication skills are highly desirable) Keen interest in contributing to interdisciplinary research that combines Earth science and energy resources and ranges from fundamental to applied sciences and
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Vitrobots and related grid preparation facilities and three Titan Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily
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Vitrobots and related grid preparation facilities and three Titan Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily
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project priorities, timelines, and resources. Excellent communication skills and a demonstrated ability to collaborate with international partners in academia and industry. Workplace Workplace We offer A
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fire testing equipment, advanced data acquisition systems, as well as high-performance computing resources for advanced numerical modelling, An intellectually stimulating and supportive environment
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the international team of the Ultrafast Spectroscopy and Attosecond Science group. Gain access to a wide range of experimental and analytical facilities, including high-performance computing resources, and
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) frame a clear AEC challenge, (b) pick the right tools (not all of them), and (c) show how your work creates impact to improve resource efficiency, reduce carbon emissions, or increase productivity. Some