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at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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, engineering, applied mathematics, or a related discipline. Experience with image processing, imagery analysis, computer vision, or geospatial exploitation workflows involving satellite imagery, full-motion
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and related facility resource requirements for functional area. Maintain computer images and imaging workflows; participate in testing centralized imaging systems/processes. Direct syncing
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(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
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atmospheric science or related field. Experience with artificial intelligence as applied to code and web development. Experience with machine learning methods and software. Ability and desire to create clear
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vision, multimodal learning, medical/industrial imaging, and related AI4X topics. Design, implement, train, and evaluate deep learning models and research prototypes using Python/PyTorch and related tools
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, and testing of advanced signal processing and communications systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Apply your
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echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart
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computational neuroimaging initiative focused on individual-level brain characterization. It combines large-scale imaging data, normative modelling, harmonization and machine learning. The platform generates