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We are seeking a current master's or Ph. D. student with a solid background in signal processing and machine learning, and a deep interest in addressing current health research challenges.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Apply various techniques from operations research, machine learning, deep learning, reinforcement learning, causal inference, and statistics to solve problems. Experience with machine learning libraries including Scikit, Tensorflow, Pytorch, and Keras.
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Deep understanding of the computational aspects of deep learning. The ideal candidate will work with a team of world-class researchers to explore innovative deep learning algorithms and hardware-algorithm co-design techniques to enable hardware acceleration of AI model training and deployment.
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O Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
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A strong peer-reviewed publication track record in premier computer vision, graphics and machine learning conferences Strong Python and deep learning development skills. What you will do Pursue research problems in 3D computer vision, computer graphics and machine learning, especially passionate about reconstruction, inverse rendering, and 3D-aware image and video editing.
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Experience with advanced ML modeling techniques including Clustering, SVM, Random Forest, and Reinforcement learning. Design and develop innovative models and algorithms for Walmart's last mile delivery network and ecosystem.
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Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures (RNNs, Transformers, CNNs). Do you have experience leading teams in developing AI/ML solutions for healthcare that leverage NLP, deep learning frameworks, and neural network architectures for conversational AI systems.
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Prepare a beautiful, orderly environment that fosters trust, exploration, deep learning, and independence. Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more.
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Automate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detection. Proficient in data-driven methods, Regression, Neural Networks, Machine Learning and Deep Learning.
$139,100 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with one or more state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Experience of architecting and applying state-of-art deep learning techniques to NLP and computer vision applications.
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We have a deep commitment to racial equity and social justice. We serve over 14,000 individuals in Seattle/South King County in the areas of early learning, youth development, citizenship, employment, health, housing, resource navigation, and aging adults.
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Clinical Bioinformatics & Exploratory Analytics, as a part of the Clinical Data Science organization, supports drug development and other business use cases across Gilead by providing data analytical, engineering, and visualization solutions to enable scientific and other business exploration and decision-making, including statistical analysis, genomic data processing and analysis, general machine learning and deep learning, and other technical infrastructure.
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Algorithm development, deep learning, python coding or other coding experience in MatLab or IDL. Image processing and analysis with satellite imagery including spectral (MSI, HSI) radar or Lidar and EOIR.
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Deep knowledge of AI technolgies, algorithms and platforms, including NLP, deep learning and computer vision. Leading teams in Data Science, Data Engineering, Machine Learning and Artificial Intelligence.
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