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, or a closely related quantitative field, together with strong programming skills, for example in Python or R. You are welcome to apply should you have a degree in applied parts of statistics
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discipline. They should have strong computational skills, including experience with UNIX/Linux and programming in Fortran, Python, or other high-level languages. Candidates should also demonstrate the ability
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 12 days ago
languages like Python. The group currently leads development of spaceflight readout electronics for the Probe Far-Infrared Mission for Astrophysics (PRIMA) and the balloon-borne EXperiment for Cryogenic Large
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proficiency in finite-element implementation through at least one of FEniCS/FEniCSx or Abaqus user subroutines (UEL/UMAT) in Fortran, together with scientific programming in Python. Knowledge, Skills
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scientific programming in Python and the use of frameworks such as PyTorch or TensorFlow. It is also necessary to have experience in federated learning and deep learning applied to medical imaging, as
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, or other real-world data sources. Proficiency in R, SAS, Python, Stata, or similar analytic software. Demonstrated experience contributing to manuscripts, scientific abstracts, reports, or grant applications
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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photometry and/or time-series analysis. Research experience in observational astronomy, demonstrated through publications appropriate to your career stage. Solid programming skills (e.g., Python) and
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generator code, C++, Python. Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail. Salary: Compensation will be commensurate based on the selected candidate's
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in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow, PyTorch) Experience with physics-based modeling Strong analytical and problem-solving skills, with