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collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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. Establish independent research areas. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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Job Description The section of Digital and High-Frequency Electronics at the Institute of Mechanical and Electrical Engineering invites applications for one or more positions of Postdoctoral
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, academic institutions, and industry Qualifications The successful candidate would ideally fulfill more of the following points PhD degree in Electrical Engineering or a related field with a focus on energy
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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environments for occupants with minimum energy use. At the same time, these solutions should also be sustainable and resilient. We are looking for a postdoc to identify the limitations of current building and
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energy efficiency, flexibility, on-site renewables, user empowerment, and interoperability with district heating and electricity grids. You will contribute to developing and demonstrating digital solutions
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Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University of Copenhagen. The sub-package focuses
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are part of a sub-project on Algorithmic Sustainability in association with Professor Christina Lioma and her Machine Learning research team in the Department of Computer Science at the University