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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning, artificial intelligence, natural
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holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
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will use our Campus Values to guide their decisions and actions and demonstrate our Rebel spirit. PREFERRED QUALIFICATIONS Experience applying machine learning (ML) or artificial intelligence (AI
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navigation simulations for early mission studies; integration with study teams for onboard autonomy simulations (e.g. intelligent failure and contingency handlers); application to close proximity operations
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to the cultivation and analysis of colon bacteria in order to study their physiology, function and interactions. We are also a member of VIB.AI, the newly founded center for artificial intelligence applications in
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the use of artificial intelligence to design new materials will be appreciated, particularly in the context of optimizing electrode and electrolyte properties for electrochemical devices. The LIMSET is
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activities to share knowledge and contribute to the academic mission of the institution, up to no more than 20% of working hours. Skills in utilizing artificial intelligence for materials design will be highly
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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for autonomous systems; field robotics; ● Cognitive Robotics: explainable artificial intelligence, perception-based interaction, and meta-reasoning to improve team performance; ●Human-Robot Interaction: Human
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computer science, statistics, computer engineering, artificial intelligence, machine learning, complex adaptive systems, agent-based modeling, agent-based computation economics, data science, computational