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machine learning systems, models, and schemes Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains Searching and selecting appropriate data sets
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. Research Interests: Artificial intelligence, applied machine learning, natural language processing, text mining, image processing, computer vision, sensor data processing, information retrieval and their
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that would complement our current strengths, including but not limited to: ● critical approaches to AI and machine learning for education; ● using technologies to support a sense of belonging among learners
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Experience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning tools ARL at Penn State is an integral part of one of the leading research
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, machine learning, autonomous systems simulation/evaluation, undersea sensors, vehicle systems • Previous Navy systems development as related to unmanned systems • Design of software using containerization
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Experience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning tools ARL at Penn State is an integral part of one of the leading research
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2024. This role is centered on cutting-edge research at the nexus of machine learning, deep learning, computer vision, psychology, and biology, with foci on psychology-inspired AI and addressing
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experience in a field directly applicable or highly related to Geospatial Sciences, Engineering, or Computer Sciences. Able to adapt and learn new skills, to execute specific research projects, and to meet
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research results in seminars/conferences. Requirements and Qualifications Sound knowledge on basic chemistry. Eager to learn new area of science and technology. Eager to learn about computational software
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, and machine learning/artificial intelligence. Undergraduate students from the following majors are highly encouraged to apply: Computer Science (Cyber Security, Software Development) Information