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Field
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qubits and next-generation quantum sensors. AI Integration: Collaborating with AI experts to integrate machine learning and autonomous agents into the crystal growth and device development workflow
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to take a leading role in the quantitative component of this mixed-methods study. In the second and third years of the project, materials and interventions will be developed based on the findings
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. The McTernan Group aims to apply recent breakthroughs in artificial molecular machines, high-affinity host-guest chemistry, and metal-organic capsules, in biologically relevant settings. We work with rotaxanes
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) consortium as well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput
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the EURAMET – the metrology component of the European Union Horizon 2020 Programme. The post holder will be expected to display the initiative and creativity, together with the appropriate skills and
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bus and train companies. You can also take advantage of our cost-effective and environmentally friendly Tusker Car Benefit Scheme, allowing you to lease a brand-new electric or hybrid vehicle with
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, Machine Learning, or a directly related field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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LiDAR, IMU, camera, and wheel-odometry data in GPS-denied, low-light environments. Implement LiDAR-based or LiDAR-inertial SLAM, factor-graph or pose-graph optimization, loop-closure validation, drift
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
element of the terrestrial carbon cycle. NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires in order to model