81 assistant-professor-computer-"https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral 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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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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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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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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interpretation in collaboration with interdisciplinary partners, including development and integration of open-source data pipelines You will report to Associate Professor Lotte Bonde Bertelsen. Your competences
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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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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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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