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in such a way as to be accessible by lay and professional audiences Technology • Using R, SAS, Python, SPSS, Tableau, and/or other database/analytical software platforms at an intermediate level of
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and strategic performance measurement. Experience with programming languages (e.g., Python or R) for data processing and statistical modeling. Experience translating technical data into meaningful
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/Python Prior experience in genetic or genomic data analysis Special Instructions to Applicants: To be considered, applicants must upload a CV, a letter of intent, including a brief summary of past and
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plus Expertise in programming (C++ and Python) Special Instructions to Applicants: For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. A complete
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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programming languages like C/C++, Python, Fortran, Scala. Experience with building interactive web-based applications for data visualization and data processing workflows Familiarity with high-performance
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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in such a way as to be accessible by lay and professional audiences Technology • Using R, SAS, Python, SPSS, Tableau, and/or other database/analytical software platforms at an intermediate level of
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knowledge (R, Python, or other programming languages) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities