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of psychiatric care. Unit website. Responsibilities This research program combines Virtual Reality (VR) and the Experience Sampling Method (ESM) to study approach-avoidance processes underlying amotivation, a core
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
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authentication, privacy preservation, and resilience in the face of sophisticated cyberattacks. For further information, please visit: https://uhssslab.com The selected candidate will lead an exciting project
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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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symptoms, uniquely integrating Virtual Reality (VR) and Experience Sampling Methodology (ESM) to examine approach-avoidance behavior as a central mechanism underlying amotivation, a core negative symptom of
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postdoctoral position. The position is funded by an ongoing NIH grant and focuses on elucidating the mechanisms of spatial navigation using multi-area recordings in monkeys in the context of VR tasks. as
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multidisciplinary team, contributing to design, data collection, policy analysis, prototyping, and dissemination. Candidates with expertise in any area—policy, AR/VR tools, community engagement, or programming
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aspects of the research, including the conceptualization, design, performance, analysis, and modeling of the results of VR experiments, and the preparation of manuscripts for publication. A doctoral degree
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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, the University contributes to a better future. The Department of Marine Sciences, University of Gothenburg, (https://www.gu.se/en/marina-vetenskaper ) combines extensive scientific competence with unique