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Field
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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with large-scale human omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience
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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and strong team work
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values. Application Materials Required: Further Info: https://medicine.duke.edu/divisions/gastroenterology/education-and-training/gi-r Division of Gastroenterology DUMC Box 3913 Durham NC 27710
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simulations and data analysis, detector and electronics R&D, and experiment-related operations, including: Participating in data collection including shift-taking at PSI Participating in detector and experiment
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digital twins, and in transferring research outputs to society. How will you contribute? · Contribute to research and innovation (R&I) projects (both methodological and applied) in the field of LCA, in
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real-world databases, especially claims and EHR databases. Prior experience with cloud computing. Strong programming skills using at least one of the following programming languages; SAS, R, SQL
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(Programming Language), R Programming Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: PhD in Genomics or a related discipline. Familiarity