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method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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a Principal Investigator for externally funded research. Advanced Technical Skills: Expert proficiency in C++ and Python, with experience in modern software development environments (Linux, Docker
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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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(Robot Simulation & Offline Programming), Microsoft Office Suite Programming Languages: Hardware-Level & Digital Design: Verilog, VHDL, Assembly. Data Science & Machine Learning: Python (Pandas, NumPy
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Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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desirable: Earth, Physical, and/or Computing Sciences, Carbon Cycle Science, mathematical modeling, programming in a compiled language like C or FORTRAN95, scripting with python or R. Location: Goddard
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at this time, 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
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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Software: Extensive experience with the Robot Operating System (ROS/ROS 2). Programming: High proficiency in C++ and Python for real-time robotic applications. Simulation: Experience with realistic