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interdisciplinary collaboration, have a demonstrated knowledge of Midwestern agroecosystems, and have direct experience collecting, managing, and analyzing field data using R, Python, or similar tools, as
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orchestration such as Kubernetes. Proficiency in shell scripting. Experience with revision control systems such as Git. Proficiency in one or more programming languages such as Python or Ruby. Demonstrated
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• Real Estate • Business Innovation & Technology and Communications • The Finance & Administration organization Please visit the UW Facilities web page for more information: https://facilities.uw.edu
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Computing (HPC) environments, using relevant coding languages (e.g. Bash, R, python, snakemake etc.); publishing research articles in peer-reviewed journals; experience in international research collaboration
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ecosystems (React, Node.js, React Native) Python web frameworks (FastAPI, Django, Flask) Database systems (SQL and NoSQL) Cloud platforms (AWS, Azure, or Google Cloud) Container orchestration (Docker
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OR Physics informed AI Experience with Python, MATLAB, Pytorch, or other scientific computing tools of the area Track record of mentoring students in cross-disciplinary or project-based learning Application
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Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong
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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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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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. Where to apply Website https://www.uniovi.es/conocenos/rrhh/convocatorias/investigacion Requirements Research FieldChemistryEducation LevelBachelor Degree or equivalent Skills/Qualifications The following