90 network-coding-"Chung-Ang-University" positions at Technical University of Denmark in Denmark
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networks. We have strong collaborations with the Region of Zealand, with the Technical University Hospital of Greater Copenhagen and many more. Benefit from supportive policies for professional development
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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for the position. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data
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, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a large national and international network and cooperate with research partners, public authorities
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decision-makers in the public domain. A track record strengthening international networking and to win and manage large-scale research projects based on public and private funding sources. Documented
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Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
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or other code repository Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged
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or optimization. Proven experience with programming and data analysis tools. Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and