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Field
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and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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it; as well as have theoretical skills including algorithm implementation/development and data visualization. Experience and interests include designing machine learning pipelines, building web
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-based and index-based approaches, the sequent-peak algorithm, extreme value analysis, and multivariate copulas. Based on this, you will develop an improved method to map global energy drought risk and
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quality control, machine learning, computer vision, systems/entity identification and recognition, and algorithm development. Demonstrated experience in leading RDT&E teams. Preferred Qualifications
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fostering an environment where staff and faculty are key contributors to UC’s success. Job Overview The Department of Computer Science is dedicated to educational excellence and developing and sustaining
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development of reporting infrastructures. Providing leadership to domain experts on issues related to principles of data science and analytical methods. Prioritizing and coordinating multiple tasks so as to
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-dimensional data generated from emerging technologies and diverse platforms, author scientific papers on statistical methods and algorithms developed, and continuously expand expertise in statistical techniques
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analysis, and algorithms of computational research questions through independent research, studying existing code bases, and staying current with publications. Build awareness of software development tools
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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate