264 algorithm-development-"LIST"-"Meta"-"Washington-University-in-St" positions in United States
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, artificial intelligence, digital data, and GPS. The successful candidate should be prepared to develop and implement an independent research program that contributes to the development of economically viable
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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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information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Design of superconducting electronic devices with emphasis on superconducting quantum processors with emphasis in qubit
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
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intelligence, digital data, and GPS. The successful candidate should be prepared to develop and implement an independent research program that contributes to the development of economically viable solutions
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questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Design of superconducting electronic devices with emphasis on superconducting quantum
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on the Team The Department of Earth System Science in the School of Physical Sciences at the University of California, Irvine is seeking a PART-TIME, on-site Applications Programmer to work in the
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topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis of large-scale survey data, which are combined
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the racial justice implications of technology, algorithmic decision-making, and surveillance tools in the criminal legal system and other systems that govern people?s lives; challenging the forces that drive
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of clinical, genetic, imaging, digital and biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease