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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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rigorous methodologies, theory-driven insights, and empirically grounded research. The social scientific research conducted by CRISES will inform the vision and attainment of a world without invidious social
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staff in a variety of roles, all united by our vision of a future where people and planet thrive. We need everyone to have the passion and drive to help us with our mission to create advocates for our
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biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical, recurrent, or developmentally inspired models
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys
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to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you
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the Department of Architecture, Design, and Media Technology and is part of a larger project involving at least two PhD candidates. [CB1] The candidate’s workplace will be in Aalborg. Your work tasks The
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translational science within a research environment. Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services
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, collaborate openly across institutions, and have the stamina to push through the engineering challenges that come with real-world physical AI. Your experience and profile: a PhD degree in Computer Vision