48 data-"https:"-"https:"-"https:"-"https:"-"https:"-"M.V" positions at Aarhus University
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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; mepage.faculty.ucdavis.edu ). Simonsen will be the main advisor to the PhD student. Her research studies policies that directly or indirectly affect children’s outcomes and she is an expert on the Danish administrative data
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and Information Studies at the Faculty of Arts. The assistant professorship is a full-time, three-year fixed-term position. Subject to the availability of funding, there will be an opportunity to apply
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering
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analysis of metagenomic data. The ability to take initiative, direct your own work, and take ownership of a research project. Personal competences Strong interpersonal and collaborative skills. An inclusive
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international partners for research projects Regular administrative tasks such as data entry, data gathering, and testing interfaces. Assistant with planning and working events hosted by the department Who we
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publication record in the relevant area. Proven ability to conduct independent research and analyse experimental data. Experience in teaching at the undergraduate level. For non-Scandinavian candidates
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals