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The Department of Medicine, Division of Nephrology is seeking a full time Data Scientist III. An Artificial Intelligence and Data Scientist 3 will assist in multiple ongoing and future biomedical microcopy artificial intelligence research projects by (1) performing data analyses, processing, and feature extraction, and developing data tools for accelerating research; (2) developing and validating a variety of machine learning/deep learning models with heterogenous cell and tissue imaging data.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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Your mission is to harness data and apply advanced technologies such as machine learning, computer vision, generative AI, predictive analytics, and data visualization. Expertise in AI Software Engineering: Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI.
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Strong background in computer science, mathematics, or related fields, with expertise in machine learning, deep learning, computer vision, natural language processing, and understanding of world model architectures.
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Preferred Qualifications: Bachelor’s or Master’s preferred in computational linguistics, artificial intelligence, computer science, or mathematics. The areas include but are not limited to machine translation, translation memory, information extraction, name-matching, speech/audio processing, document exploitation, and evaluation.
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Basic affinity or interest in machine learning/deep learning/artificial intelligence. Crafting internal tools that empower our Machine Learning team to enhance search system quality and data.
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Qualifications: Required Job Qualifications Ph. D. in Machine Learning/Artificial Intelligence and experience with atmospheric sciences or a PhD in Atmospheric Science or closely-related field and experience with Machine Learning/Artificial Intelligence.
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Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity.
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Your role will focus on utilizing machine learning and deep learning technologies to advance our platform, which integrates UAV and satellite remote sensing data for environmental monitoring.
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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The Division of Computational Health Sciences in the Department of Surgery at the University of Minnesota - Twin Cities is seeking candidates for 2 positions at the rank of Associate Professor on either the academic track or tenure track, related to artificial intelligence, machine learning, data science, and biomedical informatics.
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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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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Demonstrated skill and knowledge in applying artificial intelligence and machine learning, to create and build machine learning models with Python, Spark, Databricks, and other libraries as determined.
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artificial intelligence machine learning jobs Title: data science Company: Capital One
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