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Field
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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addressing research questions relevant to data science, biology, and agroecology the aim is to improve data flows and create knowledge graphs and future visions of landscapes. The tasks will encompass
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
students, and collaborate with AI faculty in vision, robotics, and machine learning across the department. Minimum Education and Experience Requirements Applicants should have, or expect to receive before
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events, mentoring junior scholars, and supporting ongoing field-building efforts by Dr. boyd’s team. Requirements PhD in the social sciences, STS, history, or relevant field and have conducted significant
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. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a closely related field; A strong publication record in
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: Education: PhD in Microbiology, Immunology, Biochemistry, Molecular Biology, or related field. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced
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at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
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; Standing, sitting, walking, talking or hearing. Manual dexterity and vision sufficient for standard laboratory and computer operations. WORK ENVIRONMENT: Lab environment. Moderate noise. Travel to various
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Trustworthy AI Systems NSF Research Traineeship, the Digital Trade and Data Governance Hub, the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and