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Physics, Mathematics, and /or Engineering course work covering basic electromagnetics, vector calculus, and applications Familiarity with some of the following tools: Matlab; Python; and XFdtd/CST ARL
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from a variety of sources. Experience with different programming languages (e.g., Python, SQL, R) and statistical software (e.g., SAS, STATA) is essential. BACKGROUND CHECKS/CLEARANCES Employment with
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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-oriented attitude. You are proficient in fundamental laboratory techniques. Programming skills in R or Python are an advantage. You are eager to learn new methodologies, broaden your expertise, and take
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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while contributing to a collaborative multidisciplinary research team including PhD students Desirable Skills: • Knowledge of data preprocessing and visualisation tools (basic R/Python is a plus
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for scientific presentations using Power Point, R/Python and other graphics software as needed. Search literature for references to technical problems and keep informed by reading technical journal and
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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local case studies Good programming skills, specifically R and Python Familiarity with statistical approaches used for model evaluation, including geostatistics and timeseries analyses Previous research
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. Experience with R or Python. Experience with ML and AI. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 23093 Apply now