142 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Aarhus University in Denmark
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offered: access to research infrastructure capability development, including postgraduate teacher training a mentoring programme support to develop scientific networks and to secure interdisciplinary
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help securing that cross departmental functions and tasks are developed and managed properly as part of Science Bridge‘s extended portfolio. Qualifications We are seeking a candidate with the following
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" at the PhD Programme Economics and Business Economics. You can read more about both the 3 and 4-year scheme here . The position is available from 1 September 2026 (or as soon as possible thereafter
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affiliated with the Novo Nordisk Foundation CO₂ Research Center (CORC) , where the successful candidate will manage and coordinate projects within the CO2-to-protein program, which is a part of the CO2
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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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₂ Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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cognitive science. We are looking for an applicant who can strengthen our research profile in computational modelling of cognitive processes and/or computational modelling of social processes. The ideal
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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 example university–museums sector collaboration, research addressing sector-specific challenges, or broader societal engagement and impact). Experience with or an interest in computational approaches
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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