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Field
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field completed within the previous five years and a minimum of two years of academic research experience in a related field; competency in python, MATLAB or some alternative will be considered. PREFERRED
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Required Related Experience R, Python or SAS, statistical analytics experience Required License/Registration/Certification None Physical Requirements Sitting for extended periods of time Shift Typically
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programming in C++ and Python. - Mandatory mastery of GPU programming (CUDA) for optimization. - Experience with Deep Learning frameworks (PyTorch). - Knowledge of the AliceVision architecture is a major asset
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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, reproducible data handling and analysis workflows in R and/or Python; author reusable packages and pipelines Collaborate across DKFZ programs; co-supervise students; contribute to grant applications Publish in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
. Computer programming in languages such as Python. Oral and written communication skills, including scientific and technical writing, experience writing scientific proposals. Collaboration and team-building
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Python programming Qualifications, education Qualification: PhD Field of study: Computational mechanics, biomechanics. Additional Information Benefits Gross monthly salary According to experience and
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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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) Proficiency in relevant analytical tools and programming languages (e.g., R, Python) Prior experience of writing and publishing papers on a relevant topic The candidate will join an interdisciplinary team