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generated from coastal diatom bloom. Utilize high-performance computing to process raw transcript data, conduct functional and taxonomic identification of contigs and perform statistical hypothesis testing
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particular we are seeking individuals grounded in the culture of engineering with skills in qualitative research who can do ethnographic studies of the program over the course of the project. The researcher is
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working at the intersection of computer vision, and 3D AI for the built environment. Our goal is to transform how physical environments and infrastructure are captured, analyzed, and monitored using
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc). Strong foundation in machine learning and data science. Programming skills with proficiency in Python, Java, and/or R. Preferred
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university counseling services. The postdoctoral program currently offers generalists positions with the possibility for additional specialization in four major areas: (1) Psychological Assessment . (2
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of design, computation, 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
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the possibility of yearly renewal subject to funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals
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Job Summary The research group of Prof. Ming Xie in the Physics Department at The University of Texas at Dallas invites applications for a postdoctoral position in theoretical and computational
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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or
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and conduct cutting-edge research on disease dynamics and epidemiological modeling. The candidate will develop and apply mathematical and computational models to understand the transmission, evolution