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broadly. Qualifications and specific competences: The ideal candidate has a PhD in computer science, human-computer interaction, or child-computer interaction and can construct IT-based research prototypes
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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collaboration within the Software Engineering group, and potentially across other research groups in the SECS Section. Your profile Applicants should hold a PhD degree in Computer Science or related field
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engineering, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in
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. degree in Computer Science primary, or related field (in the latter case, special emphasis will be placed on assessing programming proficiency). Comprehensive background in modelling, simulation and
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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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A postdoctoral position (2 year) is open at Aarhus University, Department of Environmental Science, Section for Environmental Chemistry and Toxicology ( www.envs.au.dk ). The position is in the field of environmental analytical chemistry and will focus on technical and conceptual developments...
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. Place of work Aarhus University, Fuglesangs Allé 4, 8210 Aarhus V. Please note that during 2025 the campus will move to new locations in the University City at the Aarhus University main campus.
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undertaken within the stated framework of the research project (max. 1-2 pages). Please note that although the application process can be completed on the Aarhus University system without uploading