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skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
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devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems
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tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities. prepare our customers to be ready for the unique challenges of adopting, deploying, using, and
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further requires teamwork to implement those models in tandem with hardware development. Essential Job Duties Research and evaluation of algorithms for detecting landing zones. Development of custom
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Description Job Summary: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with
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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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the development, evaluation and application of innovative AI, machine learning and systems approaches to modeling biomedical big data for precision health. We are particularly interested in AI methods
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the project’s conceptual foundations. As a Postdoctoral Fellow, you will lead the development of a multidimensional typology and thesaurus of GPAI capabilities, effectively decomposing complex AI behaviors
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and algorithm design Acquire detailed knowledge in navigation sensor and systems technology Additional responsibilities for higher level position includes: Lead the design, development, testing
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the University and Boeing research agreement. They will be required to: (a) develop machine learning-based image processing algorithms for surface condition recognition, defect detection, and digital feature