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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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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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Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications and APIs. Technical Skills or Knowledge
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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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in a related job discipline, with a strong emphasis on backend systems. Proven experience building web applications with Python/Django. Working knowledge of C# / .NET frameworks and services
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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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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
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practices. Technical Skills or Knowledge: Knowledge of Linux administration required, RHEL. Experience and advanced skills in scripting with Python or Bash. Experience installing, configuring, and managing
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large and complex academic research Initiative. Technical Skills or Knowledge: Experience with programming languages, especially Python. Preferred Competencies Demonstrated ability to maintain high-level