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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) is a biomedical research center in the UNESCO-world heritage city of Regensburg. Our objective is to
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reactivity across diverse materials, such as catalysts, quantum materials, energy storage systems, and superconductors, you will develop and deploy cutting-edge AI/ML algorithms for real-time Extended X-ray
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presentation found here: http://www.med.umich.edu/cvc/pdf/cvcpotentialteam.pdf Job Summary The Telemetry Monitor Technician will be accountable and responsible for the continuous monitoring of cardiac rhythms
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associate will participate in the design and implementation of the reference data model to ensure simulation system interoperability. Additionally, they will develop AI algorithms and multi-criteria
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, training models, performance models and algorithms. • Applies engineering and computer science principles to design and develop robotic systems. • Develops and coordinates communications, presentations, etc
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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. Examples include leveraging quantum algorithms for large-scale optimization and control, developing quantum-secure communication and networking for critical infrastructure, and advancing integrated photonic
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should be implemented to speed-up the acquisition rate and to optimize the setup sensibility and efficiency. Then implementation of new algorithms to build new biomarker maps should be also developed