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Compensation and your actual level are determined by numerous factors such as your qualifications, experience, relevant education or training, and work location. Examples of the brands Conviva has helped innovate, adapt, and scale at unprecedented speed include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.
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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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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Have a PhD or Masters in computer science (focus on machine learning & data analytics), computational biology, or a related field or equivalent industry experience and at least 5-8 years of experience developing and applying machine learning methods.
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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. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
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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 group is committed to designing and implementing transformative Machine Learning capabilities to model and probe the cellular biology of disease, from DNA variation to tissue organization, and how it is manifested in the patient populations we want to impact.
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Members of the SSRL-ESD are responsible for establishing performance criteria, evaluating potential system designs, and implementing/supporting machine protection systems (MPS), personnel protection systems (PPS), beam containment systems (BCS), computing and networking infrastructures, beamlines data acquisition, and motion control systems while ensuring designs and installations are properly documented.
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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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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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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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This role will be tasked with applying machine learning/deep learning to the automotive industry. Machine Learning Development. Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.
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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.
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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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machine learning jobs Title: entry level Company: Vector Marketing in San Mateo, CA
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