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and personal health informatics and will have opportunities to develop independent research directions. Key Responsibilities Lead and contribute to research on human-AI interaction in healthcare
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer
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computational) to evaluate AI-enabled assistive technologies Investigate trust, transparency, and human-AI interaction, including factors influencing user acceptance and sustained adoption Collaborate with
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | about 2 hours ago
Department of Health and Human Services. CBER's mission is to protect and enhance the public health through the regulation of biological and related products including blood, vaccines, allergenics, tissues
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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will primarily work on interdisciplinary projects to examine how computing students develop and enact ethical agency within the context of human-computer interaction (HCI) and user experience (UX) design
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, data driven, computational, and intelligent systems, all with a strong interactive component. The Digital Interactions Lab (DILAB) is a small but vibrant human-computer interaction research group within
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/26. Preferred Qualifications: Strong background in algorithms, human-computer interaction (HCI), and software engineering. Experience in robotics systems, interactive or intelligent systems, or AI