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Field
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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advanced sensing and controls algorithms for manufacturing Communicate research results through presentations, reports, conference papers, and peer-reviewed journals Deliver ORNL’s mission by aligning
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 3 months ago
system including, but not limited to: refining climate benchmark measurement requirements, developing spectral fingerprinting algorithms, developing novel hyperspectral retrieval algorithms, additional
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needs. Expertise in several areas among the following is desired: radio system modeling, transceiver hardware design, algorithm design and simulation, interference analysis, spectrum auctions and markets
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as
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vision for higher education, research, and public service. Purpose The Postdoctoral Researcher will develop algorithms for speech anonymization in real time. The applicant should have strong background in
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and deploying UAV simulation environments using AirSim or its derivatives. Designing and implementing navigation, planning, and obstacle avoidance algorithms using ROS2. Conducting simulation studies
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new MRI techniques for motion-robust imaging, real-time image processing, and/or deep learning. The work includes MRI pulse sequence design for various MRI techniques and technologies, algorithm and
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure