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Engineering, Electrical Engineering, or a related field. Experience in robotic perception, control, or learning-based methods. Proficiency in Python and C++ for AI and robotics applications. Familiarity with
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language (C++, Python, Rust, …) One high-quality first-author paper (journal or top-tier conference) You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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interatomic potential development. Proficiency in scientific programming (Python and/or Fortran). English proficiency is also required. Desirable requirements: Experience with machine-learning interatomic
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, climate economics, operations research, or statistics); • Proficiency in at least one scientific programming language (e.g. Julia, Python, etc) required; • Experience with numerical models (preferably
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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | about 2 months ago
) Software skills for experiment control (LabView, Python), simulation (SIMION, Comsol/CST, Geant4) and data analysis (Python, C++). Desirable Skills: Knowledge of the following topics: Trapped charged
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methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
proficiency in scientific programming (Python or R) and deep learning frameworks (PyTorch or TensorFlow) is recommended, alongside experience processing large spatial datasets using cloud or high-performance
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. Experience and expertise in human mobility simulation and prediction with agent-based modeling and deep learning techniques. Proficient in Python programming for geospatial data processing, modeling, and
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, ideally including causal inference or panel-data methods Programming proficiency in R, Python, and/or Stata Strong written and verbal communication skills Ability to work both independently and