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Familiar with one or more of the following concepts - deep learning, NLP, computer vision, data mining, recommendation. Utilizing natural language processing, image processing, deep learning, and operations optimization, we enable and enhance various business aspects.
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Experience with video chatting, Google Suite, Slack, electronic health records, and comfort learning new technology is important. 2+ years of experience as a care manager, care navigator, or community health worker supporting vulnerable populations.
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Stanford Vision and Learning (SVL) Lab is initiating a new research engineer position, designed to give you hands-on experience in cutting-edge research at the intersection of artificial intelligence and robotics.
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Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more.
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Expertise in a broad variety of computational techniques is essential, particularly molecular docking, pharmacophore development, library design and analysis, machine learning methods, and protein-protein/protein-ligand simulation.
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Skilled in learning design Bloom taxonomy) and measurement Kirkpatrick framework), enablement tooling (Learning management, content management, and Articulate/RISE), gamification, and program management across multiple stakeholders “master herder of cats.
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We specialize in ADHD, Learning Differences, Anxiety & Depression and Autism. Learning how to adapt ESP to complex cases and to a variety of ages and cognitive abilities is also a priority.
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The ideal candidate will have a deep understanding of machine learning algorithms and techniques, as well as experience in software development and data engineering. We’re hiring a Machine Learning Engineer to join our team and help us reimagine life insurance.
$167,640 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. or PythonSolid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithmsSolid understanding of web servers and web technologiesExperience handling large data setsCompensationThe salary range for this position is $155,000 to $220,000.
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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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CATS provides comprehensive assessments targeting a range of challenges including ADHD, Dyslexia, Post-Concussive Disorders, Nonverbal Learning Disability, high functioning ASD, depression, anxiety, mood disorders and psychosis.
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Develop end-to-end machine learning models from data collection and preprocessing to model training, evaluation, and deployment. Proven experience as a Full Stack Machine Learning Engineer or similar role.
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learning job Title: sr data Company: Verizon in Redwood City, CA
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