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PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational life sciences. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Responsibilities Learning Management SystemServes as NPCS department administrator for the HealthStream Learning Management System, accountable for user experience and answering tickets submitted by users requiring help with the platform.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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Job Title: LMS (Learning Management System) Administrator & Training SpecialistLocation: Remote (EST) Join our team as an LMS Administrator & Training Specialist! You'll be responsible for the daily operation, maintenance, and support of our Learning Management System (LMS.
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REPORTS TO: Position reports to the site coordinator, who works in close collaboration with the BPS Office of Expanded Learning Opportunities. Due to the short duration of summer programs and the critical need to boost student learning during this time, it is particularly important that paraprofessionals in BPS summer programs: Assist with preparation of cognitively-demanding lessons, assignments and enrichment activitiesSupport direct instruction to students individually, in small groups, and in classroom settingsEstablish a productive learning environment and classroom culture in which all students are respected.
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You have experience with clustering, classification, sentiment analysis, time series, and deep learning. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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LEARNING & EVENT TECH SPECIALIST II, Information Services & Technology Classroom Technology Services
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Technical Experience Experience with established and emerging technology systems and services such as: Full set live meeting and event support, livestreams, and support of fully virtual events, learning management systems, digital signage, projection systems, PC and Mac hardware and software, AV/IT control and switching equipment, audio amplifiers and mixers, projection equipment, lecture capture, and video recording and production equipment.
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The ideal candidate has both a theoretical and practical understanding of deep learning techniques and has a proven track record in areas such as clinical research, computational biology, probability, statistics, or data science.
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You will join the growing AI/ML group within the computational science group and innovate cutting-edge research in deep learning and applications to drug discovery and design. Join an extraordinary team and cultivate cutting-edge deep-learning approaches to drug discovery and design in Cambridge, MA.
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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 will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing.
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This position is ideal for someone with broad expertise in machine learning, deep learning, and computational sciences who is looking to join a very dynamic and innovative environment and pioneer the next frontier of innovation, application, and human-computer interactions enabled by generative models.
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We are currently looking for a machine learning engineer to join our growing team. At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Acts as a liaison between the Music Library and colleagues across the Harvard Library working in learning and engagement, including others in Arts, Archives, and Special Collections, and those in Services for Academic Programs.
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As a Machine Learning Engineer, you will work closely with science teams to bring research to production. MLE (Machine Learning Engineer) to complete productionalization of our ML models to support operations efficiency gains.
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Title: deep learning Company: Retech Labs in Somerville, MA
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