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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
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We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Research: Stay abreast of the latest advancements in computational linguistics, machine learning, and natural language processing, and apply cutting-edge techniques to drive innovation within the Siri ecosystem.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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We are open to hiring candidates to work out of one of the following locations:Newark, NJ, USABASIC QUALIFICATIONSRequirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models. Bachelor's degree in Computer Science, Electrical Engineering, Computational Linguistics, or a related field.
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Our Opportunity:Chewy is looking for a Machine Learning Engineer III to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, advanced data analysis, statistical testing, and software development.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to process large biomedical datasets, develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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machine learning computer science procure to pay jobs Title: senior principal in Anoka, Minnesota
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