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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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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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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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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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formulating and executing own research projects. Applicants should submit: Letter of interest PhD diploma. CV Recommendation letter Contact information For further information about the position, please contact
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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practice, this means leading groups composed of a few students in different projects and includes guiding them during experiments, data analysis and in the writing of research documents. You are also
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the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Assoc. Prof. Michal K. Budzik, +45 4189 3217, mibu@mpe.au.dk . Deadline
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with relocation and career counselling to expat partners. Please find more information about the International Staff Office and the range of services here . Aarhus University also has a Junior Researcher