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, algorithm design, probability theory, privacy definitions, and apply it to develop efficient privacy preserved federated learning model. Communicate and coordinate experimental results with other
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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. pathology images and clinical notes) to enable new discoveries across multiple patient contexts. A specific focus on advancing algorithm development through emerging deep learning techniques is of
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, Computational Biology, Systems Biology, Statistics, Computer Science, or related field; or M.D. with at least 2-3 years of related experience. Strong programming skills in Python, R, or equivalent
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Department of Computer Science offers four bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing
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, a unique interdisciplinary research community that brings together researchers across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology
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looking for a PhD candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable
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brings together perspectives and methodologies from statistics, logic, language technology, theoretical computer science, ethics, and machine learning in new ways. Its research focuses on developing