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, Ontolgies, Federated Learning . Indicate the public software repos. Deep knowlege of security and cryptography and mastering of management and monitoring tools and traffic inspection. Knowlege of technologies
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), 9-month, fixed-term Assistant Professor (Teaching) position. Reappointment is at the discretion of the Director. The successful candidate will teach upper-division undergraduate courses in Spanish and
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(1.00 FTE), 9-month, fixed-term Assistant Professor (Teaching) position. Reappointment is at the discretion of the Director. The successful candidate will teach upper-division undergraduate courses in
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programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge, or embedded systems. Experience in
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corporations and foundations and trends that can lead to larger philanthropic commitments in support of Baylor's key initiatives Develop a broad and deep understanding of current fundraising priorities across
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programme in question, experience in any of the following is not required, but considered beneficial for your application: Experience working with Real-Time Rendering Experience working with Deep Learning
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Skills/Qualifications Completion of a Master's degree in the field of Deep Learning applied to images and video. Scientific publications in the area of attribute recognition in images or medical imaging
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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growth within the team. Actively mentor and train staff, providing frequent opportunities for professional learning and growth; emphasize retention as a means of increasing capacity and expertise