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Qualifications* - PhD in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, or a related field - Strong background in computer vision and/or machine learning, with hands-on
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modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with demonstrated ability to design, train, and deploy
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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Chemistry, Applied Mathematics) Strong publication track record in relevant research areas Core Technical Skills (Computer Science Focus) Strong experience in Machine Learning / Deep Learning Knowledge
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Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the
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Duties and Responsibilities Develop novel algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct
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well as civic organizations and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems
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, and information hub for rare pediatric and adult cancers; develop foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models
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/content/10.1101/2025.11.25.25340489v1 A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions https://www.biorxiv.org/content/10.64898/2026.03.31.715361v2.full Bridging