50 cloud-computing-"https:" "https:" "https:" "https:" research jobs at Aarhus University
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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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Neuro-1 OPM-MEG system, along with computer-controlled visual and auditory stimulus presentation. The postdoc will also work with data from state-of-the-art fetal ultrasound imaging systems. The Center’s
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? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and
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for environmental challenges, are also encouraged to apply. The postdoctoral researcher will work within an interdisciplinary team of computational and applied scientists. The work will be done in close collaboration
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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Applications are invited for a 23-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark. Expected start
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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