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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
description The Department of Electrical and Computer Engineering at the UCLA Henry Samueli School of Engineering and Applied Science invites applications from highly qualified candidates for Visiting
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, Telecommunications, Artificial Intelligence or Computer Engineering; Mathematics; or a related field. Training or experience in data science, deep learning, and artificial intelligence. Knowledge of Python, PyTorch
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Apr-26 Location: Greenville, North Carolina Type: Full-time Categories: Academic/Faculty Computer/Information
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research, and a passion to pursue fundamental questions in basic neuroscience or technology development using cellular, animal, human, and/or computational models. We especially encourage applications from
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-bacterial electron transfer in these systems. By combining cultivation-based microbiology with electrochemical approaches and high-resolution imaging, the work will directly probe how energy metabolism is
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team of medical physicists, engineers, and clinicians, and will have unique opportunities to develop and translate advanced computational tools that directly impact patient care in a clinical environment
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to, patient-specific, monthly, daily, and annual QA, machine and equipment acceptance/commissioning, imaging technology, treatment ordiagnostic planning, special procedures, and radiation safety. The focus will
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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justice; and experience in incorporating technology into pedagogical approaches, including designing and implementing hybrid format courses. Social justice dimensions are a key component of our program