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for light trapping in thin-film solar cells .” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods
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including research management, communication, networking, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to
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adjustment and plate tectonics. The analysis will encompass both network wide and local analysis using data from Greenland GNSS Network (GNET). You will target specific regions where there can be an unresolved
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grant applications, as well as access to a well-established research network. Moreover, you will have the chance to help build a strong research community and contribute to the development of a high
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of participation in national and international research networks Time spent abroad working at one or more internationally recognised research institutions. Finally, applicants are asked to provide a proposal for
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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chemistry, systems biology, metabolic networks, or microbial communities is an advantage but not a must. Solid competences in programming and ease with formal thinking are prerequisites. The project is based
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can international regulatory and reporting standards reflect the actual environmental damage from AI use? What networks have been formed to influence regulation? How can we identify the ‘real cost
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collaboration. We also provide active support for developing courses, securing research funding (Danish and EU), and building a strong professional and academic network. Responsibilities You will co-lead the