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related to learning, behavior, and interactions between humans and systems using advanced quantitative methods. You will be part of a team developing and testing VR simulations. You will perform and conduct
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and development of the research programme. The successful candidate will undertake the research investigations under the supervision of the Principal Investigators and in collaboration with other
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) Country Morocco Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 12 days ago
27 Aug 2025 Job Information Organisation/Company Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) Department Human Resources Research Field Medical sciences
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that the self-driving vehicle cannot handle. The research work on teleoperated vehicles with a focus on vehicle dynamics is about research on human and machine interaction. The work also deals with control
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We are seeking a Postdoctoral Researcher in Human-AI interaction to join a research group focused on studying learning and decision-making in humans and machine learning systems led by Prof Chris
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their interactions with climate and human activities, with an emphasis on the sustainable management of natural resources (soil, land, water, and agriculture) in the context of climate change. One
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of squamate reptiles; the largest group of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus
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references. Responsibilities Work under the mentorship of the principal investigator and mentoring team to develop research projects consistent with the aims of the research program. This would require a
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-evolutionary dynamics of vegetation to geodynamics and even fewer investigate biogeodynamic interactions of tropical coastal wetland systems to evaluate the potential impacts of human-induced changes. We propose