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Working as part of an existing team, the successful candidate will have ample opportunity to contribute to enabling science at UChicago, to collaborate on software development, develop and deliver training, and other activities designed to advance research through scientific visualization, machine learning, and beyond.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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They must hold a degree in Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, or Robotics. Bachelor's or higher degree in Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, or Robotics.
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O Financial Process automation, standardization, organizational consolidation (e.g. Creating, Defining Finance Centers of Excellence, automating processes through robotics or applied intelligence, machine learning.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Optics, Optoelectronics and Precision Mechanics, Binoculars, Microscopy, Eyeglass Lenses, Biomedical Research, Medical Technology, Semiconductor Manufacturing Technology, Nano Technology, Industrial Metrology, Camera and Cine Lenses, Industry 4.0, Artificial Intelligence, Machine Learning, Software Engineering, and Software Development.
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The ideal candidate will have a strong background in machine learning, data science, and a keen interest in cryptocurrency and blockchain technology. Design, develop, and implement machine learning models and algorithms to solve complex problems in the crypto space.
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Code and develop artificial intelligence applications, natural language processing, machine and deep learning algorithms. Collection of behavioral data using rodent models relevant to alcohol use disorder, panic disorder, PTSD, and depression.
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The ideal candidate should have a strong background in software engineering, computer science, machine learning, natural language processing, and deep learning. We are seeking an experienced Python Developer with expertise in Natural Language Processing (NLP) and Deep Learning to join our Data Science team.
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Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and managing the full Machine Learning Operations (MLOps) stack from data collection to training, deploying, and monitoring models in production.
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Total BenefitsHere are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark.
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artificial intelligence machine learning jobs Title: data science in Chicago, IL
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