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The Groups of Dr. Omar Al-Louzi (Visual Outcomes Laboratory) and Dr. Pascal Sati (Neuroimaging Program) are seeking a highly motivated and talented Postdoctoral Researcher to lead multi-modal (OCT/A, MRI, PET) image analysis research projects using advanced machine learning in patients with neurological conditions.
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Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language. Develop game features that integrate machine learning into the game server, backend services, and data warehouse.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Keywords: LLM, Large Language Model, Machine Learning, Deep Learning, ML, Neural Networks, NLP, Natural Language Processing, Applied Scientist, Open-Source, OSS, Quantization, Sparsity, Pruning, Neural Architecture Search, Hardware Acceleration, Training, Inference, Tensorflow, PyTorch, JAX.
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We are seeking a Machine Learning Engineer to play a key role in accelerating our model development through data innovation. Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
$34 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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And one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus. Senior Computer Vision & Machine Learning Engineer, Creativity Apps.
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Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack. Relevant professional experience with machine learning, data mining, data analysis, distribution system.
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The Disney Direct-To-Consumer (DTC) Sports Analytics team is looking for a Data Analyst who will help to measure, understand, and take action on key rights deals and audience behavior that impacts the sports portfolio of The Walt Disney Company.
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In the role of Senior Machine Learning Engineer, you will report to the director of data science and machine learning in the Center for Data and Insights. Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics.
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In addition to general education courses in geography and earth science, students can take upper division courses in atmospheric science and global change; oceanography, surface water and groundwater; geological processes (environmental geology, plate tectonics, and geomorphology); and natural resources, biogeography, and environmental analysis (in both rural and urban environments.
$7,794 - $13,797TemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.
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Experience with NISPOM, JAFAN, JSIG, DFARS and/or DoD/RMF, experience in Windows Server, data storage, NAS, and SAN technologies and solutions. Raytheon Digital Technology (DT) is an organization that supports the need of our business through providing technical support, delivering digital technology solutions, conducting global cybersecurity services, supplying programs with technological support across hundreds of networks, ensuring optimal end-user experience, and accelerating next generation technology, machine learning, artificial intelligence, and advanced analytics.
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