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scientific software development. Proficiency in C/C++ and Python, with experience in HPC environments (e.g., MPI/OpenMP; GPU experience a plus). Record of peer-reviewed publications appropriate to career stage
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completed all requirements for the Ph.D. by the start date) • Strong training in causal inference and empirical research methods • Proficiency in Stata, R, Python, or similar Preferred
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compositionality with large language models. * Strong Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.). * Facility with C/C++/Rust or other systems-level programming languages * Skilled in writing
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) data sets in R or Python as well as GIS software such as QGIS or ArcGIS Pro. Knowledge of US forest ecosystems and background in analyzing forest structure, stand dynamics, biodiversity, and/or other
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, Geoscience, Soil Science, Physics, or related fields). Preferred skills: Commitment to contributing to outreach activities and research dissemination. Experience in computer programming (R+, Matlab, Python
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, biostatistics, computer science or a related quantitative field Additional Qualifications: · Advanced programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims
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or more scientific programming languages, e.g. R, Python, C++, etc. Additional Qualifications Preferred Qualifications Knowledge of HIV epidemiology, transmission dynamics, and programmes in eastern and
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 22 days ago
on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and other programming environments. Training
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modeling, or formal language theory Excellent programming and data analysis skills (Python required; familiarity with PyTorch and Hugging Face strongly preferred) Strong communication and collaboration