82 affective-computing-"https:"-"https:"-"https:" positions at Aarhus University in Denmark
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Technical Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified
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positively to the social working environment. We also expect that you will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your profile We
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Ecoscience programme. The position is available from 01
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-based approaches to documenting, describing, and analysing language and social interaction, as well as on experimental and computational modelling of human cognition and behaviour. We are seeking
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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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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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Technical Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified
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computing (HPC), and AI are strategic focus areas. At the department, you will be part of a technical team with other academic technicians, who work with large amounts of data, both from computational and
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, 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 research