257 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "INESC TEC" Postdoctoral positions in Denmark
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be accessed
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Job Description Migraine affects more than 15% of the global population and remains inadequately treated despite advances in biologics and receptor-targeting therapies. Emerging computational
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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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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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environment that supports this equilibrium. You can read more about family and work-life balance in Denmark . Aarhus University also offers a Junior Researcher Development Programme targeted at career
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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 preferred language in the laboratory, at meetings
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-Anthropology programme at Aalborg University. Your competencies Applicants should have a strong interest in human–robot interaction and collaboration and in the role of emerging technologies in healthcare
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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical
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University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s
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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