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The center includes other quantum faculty, and conducts a wide range of collaborative quantum research in the areas of quantum computing, quantum algorithms and complexity, quantum cryptography, quantum program verification, quantum machine learning, etc.
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Experience in Architecting solutions for Machine Learning, Advanced Analytics/Data Science deployments, and Enterprise Data Lake/Distribute Data patterns for Cloud Environments is preferred.
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Minimum of Master's Degree (Or Ph. D) in Statistics, Data Science, Computational Biology, Computer Science, Electrical or Computer Engineering, Microbiology or related field. Traditional Machine Learning / Deep Learning (no Gen AI.
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Our high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence.
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Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases.
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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.
$125,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Mastech Digital provides IT associates in digital and mainstream technologies, Digital Transformation Services around Salesforce.com and SAP HANA, as well as Digital Learning Services. Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent.
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As a Research Scientist, you will develop innovative new machine learning techniques in the domain of either large-language models or visual generative modeling. PhD in Computer Science, Computational Neuroscience, Statistics or other related technical field.
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Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Machine Learning Data Engineer, you will tackle challenges ranging from identity theft, to credit card fraud, to money laundering, and more.
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This role is primarily responsible for directly managing the Teaching and Learning Support Team made up of K-8 content directors (ELA, Science, Social Studies, and Math) to ensure strong strategy, execution, and school-based coaching and support to drive results for students.
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Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas.
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As new technologies such as machine learning, artificial intelligence, evolving cyber security, and model-based development are introduced, the Senior Software Engineering Certification Leader will play a key role in addressing their impact on certification processes.
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PhD in Computer Science, Machine Learning, Data Science, NLP, Speech / Audio Processing or equivalent field. We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You have a solid background in data science, machine learning, and software architecture, with a specific focus on designing and implementing data-driven solutions within the healthcare industry.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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