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proficient in R). Proficiency with Python, MATLAB, and SQL a plus. · Demonstrated competence with GIS, geospatial analysis, and mapping. Ability to automate production of maps and other geospatial operations
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, python and/or MATLAB, scientific computing and numerical methods. Experience with computing, PyTorch, spectral CT, photon-counting detectors, or preclinical imaging would be helpful but is not required
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/CD Python Duties and Responsibilities of this Level at a Minimum LEVEL 1: Develop and deploy application features according to technical specifications. Follow agreed-upon application development best
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discipline. Demonstrated programming experience in Python and Linux-based computing environments. Ability to work collaboratively in a research setting and communicate scientific findings effectively
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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, including use of tools such as SSIS, ADF, SQL Server Agent, Python, GitLab, and CI/CD Knowledge of and appropriate use of fundamental statistics to support data interpretation, stakeholder communication, and
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R or Python programming Tissue culture techniques Animal models Interest in translational cancer research, immunotherapy, and neuro-oncology. Other Requirements Ability to work with patient-derived
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procedures. Experience with data collection and quantitative data analysis. Programming experience in MATLAB and/or Python. Interest in pursuing a future career in scientific research, medicine, or graduate
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, including state-level health and social service data. • Strong quantitative analytic skills and experience using R, STATA, SAS, Python, or similar analytic software. • Experience with data linkage, data
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substantial relevant experience) Strong programming skills (e.g., R, Python, or equivalent) Experience in building, maintaining, and working with databases (SQL) Experience analyzing genomic data Preferred