81 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" research jobs at Aarhus University
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is secured within the academic area the candidates are assessed obviously qualified for, an extension is possible for up to a total maximum of four years of employment as a postdoc. The position has
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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activities are project-based with a solid tradition in cross-disciplinary research and international collaboration. Job description The postdoctoral researcher will work with Dr. Robert Ladwig on developing
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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, neuroscience and personalised medicine. 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
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part of the research groups of Drs. Lars Angenent and Alfred Spormann in a joint collaborative project, which also includes Prof. Bruce Logan of Penn State University. We are seeking highly talented and
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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not fully, but in a “good enough” way. I.e. capturing the emergence of some quantum properties reasonably well, while the computational cost increases only moderately. One direction is spin dynamics
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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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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