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, and artificial intelligence. Visual understanding has made remarkable progress due to advances in deep learning technologies. Furthermore, technologies that combine videos/images with natural
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independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Effective communication skills and an interest in contributing to a highly international
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of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large
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the composition and functioning of microbial communities in environments ranging from the deep sea to large lake systems. Within this department a subgroup of organic geochemists is developing novel (analytical
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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: https://youtu.be/fjBlQ5tWcN4 Learn more about balancing work and Vermont’s beauty: https://youtu.be/b0A5k174Etw Explore the deep relationships we build through ongoing care: https://youtu.be/2jjmQ-77NXw
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actionable insights to leadership and help drive data-informed decision-making. Utilizes a broad and deep understanding of all areas of Workday Reporting & Analytics including Report Writer, Prism Analytics
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certificate, bachelors, and masters programs. The person in this role will also have a small teaching load to lead courses in ECE and the Montessori MAED programs. Responsibilities Include: Prepare and teach in
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. This position requires expert-level technical and functional ERP mastery, paired with deep institutional knowledge of UCSF's business processes, operational structures, and policy frameworks. Serving as a
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. Detection of elements in freight wagons from images using AI techniques – Deep Learning. 2. Detection of defects from images using AI techniques – Deep Learning. 3. Validation on a Digital Twin and real