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methodologies — including gamification strategies, adaptive interfaces, explainable AI techniques, and personalized interaction models — to support incremental learning, long-term engagement, and responsible
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of the PhD will be to provide a comprehensive analysis of the links between dyadic interactions and group dynamics for non-human primates during collective problem solving. The challenges are both experimental
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will build on research that detects different types of uncertainty in deep neural networks, and we will connect this uncertainty to interactive data collection, e.g. in the form of a dialogue with the
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relationship with behavior. The aims of this PhD project are (i) to provide a comprehensive characterization of how visual, vestibular, and ideomotor information is integrated across different areas of the HD
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within the MERLN Institute, working at the interface of biology, engineering, and medicine. We are seeking two highly motivated PhD candidates to join the MERLN Institute for Technology-Inspired
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computational capabilities in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 May 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 17 May 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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17th May 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in nano-enabled gas storage Apply for this job See advertisement This is
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11th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human-Centred AI Infrastructure Apply for this job See advertisement This is