48 assistant-professor-computer-science-data Postdoctoral positions at Aarhus University
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permanent staff of 43 full, associate and assistant professors, a support staff of ~40 technical and administrative staff, ~150 PhD-students and ~100 postdocs and around 350 students. In
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19 Mar 2026 Job Information Organisation/Company Aarhus University Research Field Engineering Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions PhD Positions
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science or similar. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It is undertaking a restructuring
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19 Mar 2026 Job Information Organisation/Company Aarhus University Department Department of Molecular Biology and Genetics Research Field Biological sciences » Biological engineering Researcher
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. The project includes collaboration with leading international experts in proteomics and dermatology and provides access to modern research facilities. The principal investigator is Assistant Professor Xiang
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origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami robots for cell factories (yeast
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feature annotation using Metaboscape and other platforms. Collaborating with the Bioinformatics Core Facility, directed by Associate Professor Per Qvist, and other computational biologists to exemplify
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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to the faculty’s departments. Consequently, your employment will as of that date be with a department. Contact information For further information, please contact: Professor Ebbe Sloth Andersen, +45 4117 8619, esa
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum