36 phd-computer-artificial-machine-human Postdoctoral positions at UNIVERSITY OF VIENNA
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personality: Completed doctoral/PhD studies in psychology or other related fields. Experience in research projects on human-AI interaction, preferably in a therapeutic context. In-depth knowledge of AI, LLM
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of artificial intelligence and robotics. The postdoctoral researcher actively participates in the research, teaching and administration of this group. Further information can be found here: https
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neuroscience. This requires programming of experiments with human participants, typically in computer-based experiments in a neuroimaging or behavioral and stress lab setting, but also in online experiments. You
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). Conducting Human Studies: Designing, organizing, and executing animal trials as well as human clinical studies to investigate receptor functionality in relation to inflammatory processes and satiety regulation
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, an outstanding infrastructure for transdisciplinary research in the humanities. Your personal sphere of play: The Department of Prehistory and Historical Archaeology is advertising a full-time position (University
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the humanities and philosophy, as well as drawing on empirical social science approaches. In addition to the fundamental questions of Christian social ethics and political ethics, the work focuses on topics
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: Completed doctoral/PhD studies in sociology, educational science or a related discipline. Outstanding dissertation in the field of transition research with a focus on youth / young adulthood, education system
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Participating in evaluation processes and quality assurance Your Profile: PhD in communication studies, political science, or a related social science Expertise in computational communication science, in
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language besides English, Good command of the languages commonly used in liturgical studies (e.g., Latin, Ancient Greek...), Computer skills, Ability to work in a team. Also expected are: Specialization in
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This is part of your personality: PhD degree in the field of sports science or a completed degree in human medicine with completed dissertation or PhD degree Experience in the application of quantitative