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Field
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must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
on the application of artificial intelligence and machine learning to solving complex trajectory design problems. Specific applications will focus on tour design strategies and trajectory design within other multi
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. Program Contact Want to learn more about the MLEF Program? Register for one of our information session s. Visit our website www.energy.gov/fe/mlef for more information on the MLEF Program. Contact MLEF
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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); Proficiency in machine learning and Python programming; Strong scholarly writing skills with a demonstrated publication record and fluency in LaTeX compilers; Excellent verbal and written communication
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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. CADIA provides a collaborative environment where researchers tackle challenging problems in AI, machine learning, and human-computer interaction. The center offers regular seminars, visiting researcher
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative