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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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to Associate Professor Anne M. Landau. Your competences You have academic qualifications at PhD level in neuroscience, pharmacology, biomedical science or a related discipline. You have experience in
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educational programs or related programs, and you will be involved in supervising BSc, MSc and potentially PhD students whose work relates to composite mechanics and structural analysis. Through
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position “Human AI Collaboration
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bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research
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qualitative interview studies, surveys, register data, or experiments. Qualifications: Applicants will have completed a PhD in Management, Economics, or another related social science discipline before the
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profile Applicants should hold a PhD in ecology, molecular ecology, genomics, microbiology, bioinformatics, environmental science, or a related discipline. We seek candidates with experience in several
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connecting governance studies at all levels of global society. Qualifications The ideal candidate will have completed a PhD in intellectual history, history, political sociology, political theory or political
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position, starting on 1 January 2027 and ending on 31 December 2028. The position is based within the Department of Education Studies at DPU’s campus in Emdrup, although the successful applicant should
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance