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Masters Degree in Computer Science, Computational Linguistics, or related field preferred. Bachelor's Degree in Computer Science, Computational Linguistics. Data science - Clean, label, and prepare training data.
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Master's or Ph. D. in Information Science, Library Science, Philosophy, Linguistics, Computer Science, or a related field with a focus on ontology engineering, knowledge representation, or semantic technologies.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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The Medical Science Liaison acts as a representative of the Nuclear & Precision Health Solutions (NPHS) medical affairs department to support Cardinal Health customers, the scientific development of drug products, and medical education.
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As a Quantitative Trader, you'll draw on your knowledge of mathematics, computer science and statistics to uncover patterns in vast amounts of financial data and deploy profitable trading strategies to markets around the world.
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MS, or PhD in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or a related field. SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning.
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Foster a culture of innovation, impact, collaboration and inclusion within your team and the broader Science and Machine Learning organization. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization.
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Completed PhD in neuroscience, biomedical engineering, computer science, mathematics, biophysics, neuropsychology, or related fields. Completed PhD in neuroscience, biomedical engineering, computer science, mathematics, biophysics, neuropsychology, or related fields.
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REQTS: Must have a Master's degree or foreign equivalent in Statistics, Computer Science, Mathematics, or a related field plus six (6) years of experience in consumer marketing data science in the position offered or a related position.
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Bachelor’s degree in art, art history, museum studies, library science, or computer science, or one year of related work experience. Bachelor’s degree in art, art history, museum studies, library science, or computer science, or one year of related work experience.
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Currently has, or is in the process of obtaining, a PhD in systems or computational neuroscience, biophysics, physics, electrical engineering (e.g. signal processing, systems theory, control theory), statistics, applied math, computer science, or related fields.
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Candidates must have IP experience with drafting and patent prosecution and a background in computer science, electrical engineering, or similar. Office(s): Atlanta, GA, Baltimore, MD, Boston, MA, Charleston, SC, Charlotte, NC, Columbia, SC, Denver, CO, Greensboro, NC, Greenville, SC, Houston, TX, Huntsville, AL, Irvine, CA, Los Angeles, CA, Nashville, TN, New York, NY, Raleigh, NC, RTP, NC, San Francisco, CA, Silicon Valley, CA, Tysons Corner, VA, Washington, DC, Wilmington, DE, Winston-Salem, NC.
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A Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
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NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
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computer science source jobs Company: Apple in New York, NY
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