14 distributed-algorithms "Computer Vision Center" "Computer Vision Center" positions
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-performance computing, cyberinfrastructure, data-intensive computing, computer vision, digital agriculture, or scientific computing. Record of scholarly productivity appropriate to career stage, including
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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research interest include, but are not limited to, numerical algorithms and high-performance scientific software; parallel and distributed computing; performance analysis, modeling, and benchmarking
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Engineering Work with research teams across the Center to integrate new algorithms and capabilities into deployable robotic systems. Develop and maintain ROS 2 packages, interfaces, launch systems
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will address how agents fuse heterogeneous sensory streams, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty
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sensing performance. You will design and analyse new algorithms for beam forming, beam focusing, localization, and sensing using XL and distributed reconfigurable antenna arrays. The aim is to enable
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competitive benefits package designed to support your career and well-being. Job Description The Geospatial Data Science (GDS) Group in NLR’s Strategic Energy Analysis Center is seeking an experienced
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Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6–12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy
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) deployment of the developed algorithms on physical mobile robots operating in GPS-denied, low-light, and geometrically repetitive environments. The candidate will collaborate with multidisciplinary