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Experience with image analysis, machine learning, and deep learning frameworks Pytorch, TensorFlow-Keras). The incumbent will apply image analysis and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology digital pathology research for programs in clinical development.
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You have 3+ years of experience as a Data Scientist or Machine Learning Engineer. Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing.
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Central Operations & Partners consists of our Brand & Communications, Community, Facilities, Finance, Infrastructure/IT Operations/Business Systems, Initiative Operations, People, Real Estate/Workplace/Facilities/Security, Research & Learning, and Ventures teams.
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Build production grade models on large-scale datasets to measure effectiveness across products by leveraging statistical modeling, machine learning and data mining techniques. As a Machine Learning Engineer working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business.
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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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As a fully remote company spanning five continents, we foster a dynamic, progressive global work environment that values creativity, initiative, and continuous learning. Learning and development annual stipend.
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Experience with machine learning, model development, MLOps, deep learning frameworks such as TensorFlow or PyTorch. As a Senior Product Manager on the Workbench team, you’ll join a highly cross-functional team to lead product initiatives across multiple organizations in the development and commercialization of Verily Workbench, which transforms biomedical research by making the world’s most scientifically valuable data discoverable, accessible, and analyzable.
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We are looking for a Senior Data Scientist , to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques. In this fast-growing team, the Sr. Data Scientist will build predictive models, derive media insights, define statistically sound solutions including but not limited to lift analysis , experiment design , incrementality testing , marketing mix models , multi touch attribution , uplift targeting , automated optimization strategies, and advertiser-facing recommendations.
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The Math Curriculum Specialist, reporting to the Assistant Head of School for Academics, will work with faculty and staff teams to enable curricular and program innovation and growth and to expand teacher expertise so we can ensure that our curriculum is meeting all of our current and future math teaching and learning needs.
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Bachelor's degree in computer science, Statistics, Operations Research, Econometrics, Applied Mathematics, Machine Learning, Decision Science, Industrial Engineering, or related field. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
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Learning & Development Opportunities: On-demand online training and book reimbursement. Our incredibly talented team of engineers, innovators, and industry leaders bring years of experience from the top healthcare companies in the world, including: Intuitive, Auris, Stryker, Johnson & Johnson, Boston Scientific, Verb Surgical, Mako, Think Surgical, Medrobotics, and Hansen.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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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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HSI is an inclusive workplace and a learning community where our collective experiences enrich each other’s growth. Excellent computer skills, knowledge of data capture and data input into Electronic Health Records.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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learning job Title: sr data in San Mateo, CA
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