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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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anthropology to lead a research package about the social and ecological impacts of cattle and cattle infrastructures in the Kalahari Desert in Botswana, Africa. The position is part of the Sapere-Aude: DFF
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data quality and reproducibility, and contribute to the writing of manuscripts and grant applications. The successful candidate will also take part in regular group meetings and collaborate closely with
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
postdoctoral researcher, your position is primarily research-based, but it will also involve a small degree of teaching and supervision. To that end, the selected applicant will be expected to take part in
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. The research will be conducted as part of the Independent Research Fund Denmark Sapere Aude Grant project Visions of corporate politics: Intellectual histories of the state-firm analogy. The project team will
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designed to also support a range of advanced crystallographic experiments. As a result, planning, preparing, conducting, and supporting user experiments will be an integral part of the position. SINCRYS will
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as part of a running team including two PhD students. Your profile Applicants should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field
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teaching is also expected. The position is part of the GreenFjords project funded by the Independent Research Fund Denmark (DFF). The position has a fixed term of 2 years with start date 1 November 2026
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chemical environments and correlated disorder to thermodynamic stability and transport. The research will form a central part of CENSEMAT's simulation-guided materials programme and will be carried out in
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In