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ability to acquire competitive funding. Interdisciplinary mindset and keen on collaborating broadly in the center, the department and the university. Motivated to guide postdoctoral researchers, PhD interns
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and postdoctoral fellows, and teach undergraduate and graduate courses in the Earth sciences. Although we recognize that candidates may have varying levels of teaching experience, a willingness to
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recordings. More information on the smartphone can be found here: https://www.kneuhealth.com. The successful applicant will work closely with our senior postdoctoral scientist on Deep learning and Machine
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premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence
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autonomy. Influences others regarding policies, practices and procedures. Essential Functions: 60% of Time the Research Scholar may: • Lead development of deep learning algorithms capable of identifying
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, CUDA), numerical linear algebra, sparse matrix computation, and low-latency system design. · Machine Learning and AI Theory/Algorithm Design: optimization theory and algorithm design for deep learning
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strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
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are seeking a Postdoctoral Fellow to develop AI-driven methodologies for the digitalization and intelligent management of civil infrastructure. The role focuses on integrating computer vision, machine learning
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training of the assigned faculty supervisor. This role requires a solid foundation of discipline‑specific knowledge in plant physiology, CT imaging, and deep learning/AI, and the ability to generate
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics