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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
programming (MATLAB, C++, Python, R, etc.) • Experience with MR physics and/or pulse sequence programming (Siemens or Bruker platforms) is preferred but not required • Experience with machine learning
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studies. Strong background in AI/ML fundamentals and extensive experience with deep learning (DL) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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Therapy Postdoc Appointment Term: 1-year term with possible extension Appointment Start Date: As soon as possible (ASAP) Group or Departmental Website: https://med.stanford.edu/ross-lab (link is external
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in C/C++ and Python with several years of practice. Experience in maintaining high-quality code on Github. Ability to visualize experimental results. Effective inter-personal and team-building skills
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– 10% Requirements Ph.D. in Atmospheric Sciences, Climate Science, or related field. Proficiency in scientific programming (Python, R, MATLAB, or equivalent) is required. Experience with atmospheric
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scientists. Job Description Primary Duties & Responsibilities: Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Lab
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robotic platforms Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS, or equivalent
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 12 days ago
, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S
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environmental impacts (e.g., greenhouse gas emissions and impacts to air and water quality). Interest in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python