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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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[map ] Subject Area: Information Science / Human-AI interaction Appl Deadline: 2026/04/21 04:59 AM UnitedKingdomTime (posted 2026/03/13 04:00 AM UnitedKingdomTime, listed until 2026/09/14 04:59 AM
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an impact on human health and the environment. The mission of the new Electrification for Health program is to improve health through clean electric systems that reduce air pollution indoors and outdoors and
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in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront
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by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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variability, and the nature of human-climate interactions. The successful candidate will join the GeoPAC2 project (Geologic Perspectives on Abrupt Climate Change: Strengthening Ireland’s capacity for projecting
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PhD (or will have a PhD awarded by the time of the postdoctoral position start date) in a relevant field such as neuroscience, computational neuroscience, cognitive science, NeuroAI. or similar
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presentation of results at international conferences Participation in regular project meetings and interaction with consortium partners Your profile Required qualifications: PhD in neuroscience, stem cell
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isolated from humans Screening pathogen-host microbe interactions including effects on V. cholerae growth, cholera toxin expression, biofilm formation, and motility Once interactions are identified, testing