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, and algorithm design for inferring conclusions from multiple sources of information. Uncertainty quantification and propagation is vitally important such autonomous workflows, as is the development
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Sedlazeck Lab is seeking a highly motivated Staff Scientist with strong computational and algorithmic expertise to lead and support cutting-edge
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implementing advanced control algorithms to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically assign grid-forming roles under
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University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
focus on improving biosignal analysis through signal processing and advanced algorithms, identifying predictors of adverse outcomes, using biosignals to improve physiologic understanding and leveraging
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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imaging (MRI). The Computational Biomedical Imaging Group (CBIG) pursues research on the development of new algorithms for the reconstruction and post-processing of medical and biological images. Active
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algorithmic expertise to lead and support cutting-edge research in long-read genomics, tandem repeat (TR) analysis, and population-scale variant discovery. Our group develops novel methods and performs large
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wide range of markets such as automotive, industrial and aerospace. High-level synthesis (HLS) is a design process that automatically converts algorithms written in high-level programming languages
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to ensure alignment with donor plan. Responsible for comprehensive understanding of HLA donor search algorithms and other non-HLA factors, such as ABO, age and CMV status. Analyze donor searches and apply
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision