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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
contexts. Preferred: Background in biomedical data, healthcare, or AI for life sciences. Experience withparallel computing. Familiarity withscientific machine learning approaches(e.g., physics-informed
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in
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, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational
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science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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ability to interpret complex information and data. Advanced statistical analysis, machine learning and artificial intelligence knowledge and skills. Strong organizational skills, excellent oral/written
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. Collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists, experimentalists, engineers, and physicists conducting basic and applied AI/DL research
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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the opportunity to lead manuscript and grant writing and submit publications as the primary author. Responsibilities: Effectively design, implement, and evaluate machine learning and computational
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs