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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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system with an open source data structure. The setup is ready for developmed of digital twins to improve and scale the technology to offer the world a new pathway to sustainable proteins. In a
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species providing the data foundation for adverse health effect risk assessment Assess hot spots in the Arctic of chemicals in local communities and exposure assessments Assess food web dynamics in relation
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26 Nov 2025 Job Information Organisation/Company Aarhus University Department Department of Molecular Biology and Genetics Research Field Biological sciences Researcher Profile First Stage
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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
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determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
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. The project is situated with the Creator Economies Lab, and the working language of the project is English, although data collection will also include Japanese and Spanish. The postdoc will lead a sub-project
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information For further information about the position please contact Professor Jørgen Kjems: jk@mbg.au.dk _________________________________________________________________________ Application procedure
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences