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. Solid background in machine learning techniques and practical experience in computer vision applications. Proficient programming skills and experience in one or more deep learning tools. Proven track
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experience in deep learning algorithms for object detection/classification/tracking and/or natural language processing Track record of producing high-quality software on schedule Experience working in
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on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) novel development of deep learning ML models and adaptation
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of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) novel development of deep learning ML models and adaptation of existing ones for scientific and security
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, particularly with a focus on aerosol-cloud-precipitation interactions. The ideal candidate will have a strong interest on the study of processes that impact the lifecycle of deep convective clouds using high