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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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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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Based on a foundation of engineering and chemistry, Synthego leverages automation and machine learning to synthesize high-quality CRISPR reagents for science at scale. The Contracts Counsel will provide general commercial legal support on all contract and transactional aspects of the business and work closely with our business teams to contribute to the company’s financial and operational success along with managing our contract database, LinkSquares.
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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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To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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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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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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Senior Machine Learning Engineer, Generative AI - San Mateo, CAYour day-to-day:Be a technical leader for a cross-functional team implementing Generative AI (GenAI) solutions for some of the most critical business needs in the insurance industry.
$122,000 - $244,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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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As a learning organization, we encourage professional development and career advancement, and we offer up to $3,000 annually ($12,000 lifetime maximum) for education assistance with tuition reimbursement and/or loan debt relief that includes qualified family members.
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Collaborate to identify, evaluate, and recommend novel and cutting-edge automation and assay strategies to drive our discovery programs, including machine learning and artificial intelligence.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta seeks a highly motivated team player to join a team of attorneys responsible for handling and leading privileged internal investigations on matters relating to anti-corruption, anti-money laundering, securities and corporate fraud.
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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. At Zoox, you’ll collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, machine learning, controls, computer vision, simulation, design, and automated testing.
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Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
$183,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience applying machine learning or other signal processing techniques to noisy sensor data in real-time, interactive applications (e.g., IMU, cameras, EMG) PhD with 3+ years of experience in Deep Learning, Robotics, Statistics, Computer Science, Signal Processing, or a related area.
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machine learning jobs Company: Onestaff Medical in San Mateo, CA
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