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. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data
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science, machine learning, AI, or any computational science discipline of interest to the Computing Sciences Area and Berkeley Lab. Fellows apply advances in these fields to computational modeling
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include leading research activities within the project scope, developing and evaluating advanced analytical or computational methods, and preparing manuscripts for peer-reviewed journals and conferences
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, for example: learning new scientific skills, making funding applications & Fellowships, supervision/teaching opportunities, training courses, conferences, collaborative networks & academic/industrial
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and
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(OC), Office of Global Policy and Strategy (OGPS) located in Silver Spring, Maryland. Research Project: You will participate in research and analytical activities supporting FDA's global regulatory
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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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to the interdisciplinary study of images as instruments of human knowledge and cultural practices. It investigates the functions and effects of images throughout history and in our contemporary society from analytical and
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Nair, to study how machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge systems neuroscience tools with the development of new AI
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 2 months ago
of the sialylated IVIG fraction from ~10–20% to =80% can produce a more potent, lower-dose item, potentially enabling a four-fold dose reduction. The project involves, developing and validating analytical methods