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Field
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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duties as assigned. Requirements: Doctorate Degree in Computer Science, Electrical Engineering, or a related field. Strong background in computer vision and deep learning. Proven record of first-author
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About the Opportunity About the Opportunity: Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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meaningful societal impact. By our Charter and Design Aspirations, we center inclusion and success as values that drive the enterprise; adopt inter- and transdisciplinary approaches to teaching and learning as
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About the Opportunity About the Opportunity: Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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aims to cultivate the next generation of leaders with expertise in the social impacts of technology, and build a network of public interest thinkers who learn from and support each other’s work
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research in a dynamic and collaborative environment. If you’re eager to expand your research skills in a dynamic and collaborative environment, we encourage you to apply! To learn more about Dr. Wang’s work
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algorithms and models for VRU detection and safety assessment. Utilize deep learning methodologies for video and point cloud object recognition and detection. Implement and optimize GNN architectures
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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About the Opportunity About the Opportunity: Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the