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performance and funding availability. VISION Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance
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-performance computing, cyberinfrastructure, data-intensive computing, computer vision, digital agriculture, or scientific computing. Record of scholarly productivity appropriate to career stage, including
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categories View less categories Academic Discipline Biological Sciences , Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences , Life sciences Job Type Academic Posts
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principal investigator, Dr Robert Kirby, and a team of students seeking to develop new features within Irksome. A Ph.D. in applied mathematics, computer/computational science, or a related discipline and
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important problems in biology and medicine. We seek outstanding researchers with training in AI/machine learning, computer science, statistics, mathematics, physics, or related quantitative fields
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-generation communication infrastructures. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
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Project Overview We are seeking one Postdoctoral Associate in Computer Science to join the research program "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S
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focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Qualifications, Competencies, and Experience * Demonstrated experience with Agentic AI, multi-agent systems, large language models (LLMs), Computer Vision and and Deep Learning architectures (CNNs