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job discipline. Certifications: --- Preferred Qualifications Education: Advanced degree. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in
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Education: Advanced degree. Experience: Experience conducting applied research or evaluation. Proficiency in statistical software and data analysis tools (e.g., R, Python, SPSS, Stata). Strong writing skills
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related job discipline. Certifications: --- Preferred Qualifications Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data
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. A minimum of two years of employment as a research assistant. Fluency with Stata. Fluency with Python. Familiarity with Matlab. Preferred Competencies Knowledge in relevant scientific field. Problem
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred
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using various industry standard tools, languages, and frameworks such as JavaScript, C#, and Python. Experience with data design and modeling, as well as a high level of comfort with SQL. Prior experience
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after one year of employment. Technical Skills or Knowledge: Proficiency in a programming language such as Python. Preferred Competencies Good communication skills. Organizational and attention to detail
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, TypeScript, React, Redux Toolkit, Postgres, Python, AG Grid, Tailwind CSS. Preferred Competencies Outstanding verbal, written, and presentation skills, as well as organizational skills. Work independently with
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involving spatial characterization of cells and genes in the tumor microenvironment of breast and bladder cancers. The candidate should be proficient in Python with a familiarity of specific libraries/APIs
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Microsoft Office 365. Proficiency in Python, R, SQL, or other statistical programming languages. Experience with data visualization platforms such as Tableau or Power BI. Preferred Competencies Strong