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The current strengths of the faculty are in the areas of algorithms, artificial intelligence, computer networks, cybersecurity, graphics, parallel and distributed systems, cyber physical systems, data science, machine learning, and theory.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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Responsible for data quality in the platform, monitor data ingestion ,solid understanding of the schemas, identity service, Data lifecycle, query service, data science workspace(for future) , intelligent services(for future), use case playbooks (for future.
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Or MatlabPreferred:Experience working within DoD/IC Analysis or Operational environmentsExperience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning toolsARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS)What could set you apart:Bachelor's or Master's degree in computer science, engineering, or a related field. Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols Required qualifications, capabilities, and skills: PhD or MSc. in a scientific field (Computer Science, Engineering, Operations Research, plus 6 years or more of experience in producing advanced analytics work with an emphasis in optimization.
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MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer Science, Mathematics, or equivalent practical experience. Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.
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What we’re looking for: A Ph. D. degree in a relevant field, such as bioinformatics, computational biology, computer science, statistics, or a related discipline, with a strong background in data science, machine learning, and statistical analysis.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke. More information about the NPNL can be found at The ideal candidate should have, or will soon have, a bachelor’s or master’s degree in Neuroscience, Computer Science, Biomedical Engineering, or a related field.
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Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred). Knowledge in data/computer science pedagogy is a plus.
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computer science big data jobs Title: associate professor assistant in Castle-rock, Colorado
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