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. PyTorch). Experience analyzing high-dimensional data (biological or otherwise) or single-cell, bulk sequencing, or other biological data. Experience in algorithms and good software development practices
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machine learning. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact
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. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software packages for data
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lead efforts to develop experimental techniques using conventional and coherent imaging in the ultrafast time domain, as well as a computational framework for modeling and reconstructing images
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 3 hours ago
, and C/C++ Experience developing machine learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 days ago
measurements while making new types of measurements that further describe aerosol and cloud properties. Validation of these new measurements is a challenge, requiring the development of alternative
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Professor Lei Xie seek to hire Postdoctoral Research Associates to train in and oversee in interdisciplinary projects involving AI algorithm development, physiologically based pharmacokinetics, computational
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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
: Technology Development Advisors: Ryan Rogalin Ryan.Rogalin@jpl.nasa.gov (818) 354-3426 Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent