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matter expertise supporting the development of new studies, modeling and simulation, and algorithms. The Post-Doctoral Fellow will work along with the Division Chief and research managers in the Nuclear
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three years The candidate will hold primary responsibility for designing novel algorithmic frameworks, coordinating multi-institutional research networks, and translating real-world health data
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 17 hours ago
the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data. Major regulatory science gaps include lack of methods for AI algorithm training with limited
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algorithms to enable autonomous execution of surgical interventions. The research program will include a systematic investigation comparing this autonomous surgical paradigm against expert surgeons performing
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
optimization algorithms and/or machine learning models for complex systems or real-world applications Experience with large-scale optimization or deep learning systems is highly desirable Duties and
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University): Quantum Computation & Quantum Algorithms https://youngseok-kim1.github.io/ykim.github.io/ 3. RESEARCH AREAS [Condensed Matter Physics] - Quantum topology and geometry - Topological materials
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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developing algorithms for RNA-seq and whole-genome data. Learning Objectives: Under the guidance of mentors, you will have the opportunity to learn to: (a) conduct research using swine infection models; and (b