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McClure Miller Respite House – Experience what a night at the Respite House looks like. https://youtu.be/fjBlQ5tWcN4 Learn more about the care journey and experience from our nurses: https://youtu.be
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vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow
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atmospheric perturbations, and improving performance under realistic operational conditions. Main activities include: • Designing and developing deep learning models to correct wavefront sensor nonlinearities
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for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial
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experimental design. Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting. Familiarity with deep learning concepts and modern
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the competent authority of the Ministry of Higher Education, Research and Innovation (MESR). "Video content security in a deep learning coding architecture" Over the past few decades, numerous video compression
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/deploying deep learning models and machine learning applications. Computer skills: Python (PyTorch, TensorFlow), databases (MySQL), 3D Slicer, ITK-SNAP, OpenCarp. Previous experience in research activity in
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, multimodal applications, Python, R, other GenAI deep learning frameworks. Advanced Degrees (Ph.D. or Professional) in an academic research related discipline APPLICATION REQUIREMENTS Document requirements
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of academic programs within the UCLA Joe C. Wen School of Nursing. This position requires deep familiarity with the School's unique curriculum, policies, systems (including Bruin Learn), and existing
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evolutionary datasets across time scales Project Context The NSF-funded project 'Unlocking New Horizons - How Feeding Morphology and Performance Impacts Adaptive Expansion in Deep Time', seeks to examine how