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subgroups Support public health policy, prevention and hospital planning Provide meaningful feedback to patients, clinicians and policymakers The PhD will work at the interface of machine learning, deep
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Demonstrated programming skills in python Experience with machine learning / deep learning (e.g., deep neural networks) Ability to take responsibility and work independently within an interdisciplinary
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. At NCED, we are committed to fostering an environment where innovation and continuous learning are at the forefront. Your expertise will be instrumental in equipping USPS personnel with the skills and
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Python with PyTorch (or equivalent deep learning framework). Experience with computer vision workflows (e.g., pose estimation, segmentation, tracking, multi-view geometry, 3D vision). Strong software
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inclusive resources, services, and learning opportunities that support their academic and career goals. Through its various departments and programs, including Inclusive Excellence, Pathway Programs, and
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environments (Gazebo, Unreal Engine, or Unity). You have experience in artificial intelligence (Deep Learning, PyTorch) or embedded systems (ROS2, FPGA/VHDL design). You are curious, show scientific rigor and
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of HIPAA). Experience with anatomy & physiology concepts and course matter. Experience motivating students in the learning process and understanding differentiation and universal design Excellent
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Scientist / Scientific assistant – Tree species detection using deep-learning Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and
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Background Check: Yes About the Department: The Department of Psychology (https://psychology.gmu.edu/) boasts over 1,700 undergraduate majors (BS, BA), 330 graduate students (PhD, MA, MPS), and 50 full-time
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bioinformatics and genomics is not required; we're targeting talented software engineers who want to expand into the fields of bioinformatics and genomics (visit https://learngenomics.dev/ to learn more about