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Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Work in our group focuses on developing innovative image analysis, machine learning, AI and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications.
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We unlock revenue for companies by using AI and machine learning to present highly relevant offers to each shopper, personalizing the online shopping experience and maximizing the value of each transaction moment.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Experience with statistical and machine learning methods to build descriptive and predictive modelsExperience in and/or passion for health and fitness, sports, gaming, or other related fields.
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Provide triage support and pre-production solutions for clients utilizing knowledge in data science concepts and techniques across the disciplines of applied statistics and machine learning.
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Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development.
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Build machine learning, deep learning and statistical predictive models that can be used for different outreach program. Solid foundation in statistics and machine learning (either through training or work experience.
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Are you a Data Scientist that would enjoy working with a cutting-edge financial and engineering teams and to expand their data science and machine learning capabilities? Proficiency with statistical and data analysis and programming tools such as R, SAS, Stata, SQL or Matlab.
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Strong proficiency in statistical modeling, machine learning, and data visualization techniques for supervised and unsupervised learning including methods for Classification, Regression, Forecasting, and Clustering (Regression, Neural Networks, Decision Trees, Random Forests, KMeans, etc.
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Experience working in probability and statistics, time-series analysis, as well as experience in the use of machine learning methods, for example, linear regression, correlation, statistical significance, etc.
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PhD in computer science, statistical genetics, bioinformatics or related quantitative subject. This multidisciplinary project is a collaboration with Dr. Niamh Mullins at the Icahn School of Medicine at Mount Sinai, an expert in NPD genetics, especially bipolar disorder, and member of the Psychiatric Genomics Consortium.
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Master's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and three (3) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain.
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As a Data Scientist, you will be responsible for building statistical and machine learning models that improve the efficiency of manufacturing using data collected from Oden’s factory cloud.
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Research and implement novel machine learning and statistical approaches, including NLP and Computer Vision. Use statistical and machine learning techniques to create scalable and lasting systems.
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A deep understanding of machine learning, statistical modeling, and predictive analytics. Demonstrated experience applying statistical and/or machine learning techniques in the financial industry.
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machine learning statistical jobs in Pine City, NY
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