115 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Aarhus University
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laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine
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. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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other courses and student projects. Employment period 1 September – 31 December 2026. Responsibilities As a student instructor, you will: Help students contextualize and apply the tools introduced in DAM
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Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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For further information about the project or the position, please contact Track leader and co-PI in the Casein Mission project, professor Lotte Bach Larsen, lbl@food.au.dk Start date and duration of employment
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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26306659 Simon.wall@phys.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and