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computational tools, including optimal-control techniques, that directly support ongoing experiments and advance the control of bosonic quantum operations. About us The position is hosted at the Applied Quantum
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. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 4 hours ago
at UT Health San Antonio is recruiting for a highly qualified full-time residency trained academic Emergency Physician faculty position. Optimal candidates will have an established track record of peer
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) system and other related finance applications, and has demonstrated strong hands-on experience with technical development and system optimization. The Assistant Director collaborates closely with
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out and participate in the research of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and
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and optimize methods to measure neuronal activity and morphology. Combine the two methods to detect the cell type and neuronal physiology in one experiment. Computational & Data Analysis Apply advanced
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, optimize and extend existing setups, develop a novel setup to perform an absolute radiometric calibration Perform a line-of-sight calibration to precisely align the instrument’s viewing geometry with
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description The candidate will have the
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and skills required for this position are normally obtained through a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred and 5
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About the Opportunity JOB SUMMARY The Associate Vice President - Infrastructure leads several teams to ensure optimal performance, availability and scalability of Northeastern University’s IT