10 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" Postdoctoral research jobs at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in United States
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statement of their background and interests and contact information only for at least three references to AcademicJobsOnline.org https://academicjobsonline.org/ajo/jobs/31488 . We will begin to review
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team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you! Job Description Applicants must apply through Interfolio at https://apply.interfolio.com
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inference, and/or survey methodology. Familiarity with immigration policies both in the United States and other regions. Experience in science communication for broader audiences. To apply, visit https
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
(2018); https://doi.org/10.1063/1.5033338 Shuyan Zhang, Alexander Soibel, Sam A. Keo, Daniel Wilson, Sir. B. Rafol, David Z. Ting, Alan She, Sarath D. Gunapala, and Federico Capasso, “Solid-immersion
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the excellence of the University and to offer our students richly varied disciplines, perspectives, viewpoints, and ways of knowing and learning. Candidates should address how they would contribute to the research
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Statistics and Data Science Center at the Institute for Data, Systems, and Society is seeking applicants for a Postdoctoral Associate in the general areas of statistical learning, reinforcement learning
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georeferenced data on pest outbreaks. The Scholar will use these data in collaboration with computer scientists to develop machine learning algorithms for the detection and management of biotic stress. The crops
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Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Related Links: The Center for Quantum Leaps: https
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command