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, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge
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data (a deep-learning (DL) convolutional neural network (CNN) tool trained on ultrasonic B-/C-scan data, unlocking automated objectivity in characterising similar defects in other composite components
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to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater
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PyTorch or TensorFlow. Experience developing, training, and optimizing neural network and deep learning architectures. Experience with Linux/UNIX environments and HPC systems. Familiarity with job
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combines biomechanics, medical imaging, statistical shape modelling, deep learning and virtual crash simulation to create more realistic and equitable safety assessment tools for tomorrow’s transport systems
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deep expertise in clinical and translational science, supported by advanced scientific training (e.g., master’s, PhD, MD) and/or relevant experience in biopharma, research administration, and
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that elevate student learning, join us in shaping the next generation of exceptional social workers. About the roles This is an exciting opportunity to join a progressive and supportive team of social work
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encourage candidates to build on existing strengths within the department (see our website at https://renaissance.stonybrookmedicine.edu/pnb ). Competitive startup funds and modern lab and office space will
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that improve learning, teaching, quality and student outcomes. Demonstrated ability to shape and deliver education strategy in a complex university environment. Deep knowledge of contemporary national and
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assurance reviews and recommends changes as appropriate. Has a deep understanding when interacting with faculty, researchers and staff for committee work or information. Perform other work as needed. Minimum