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Field
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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collaborative R&D environment in close interaction with the AI/ML team is a must. This in-person role involves regular participation in project meetings, writing progress updates and reports, presenting as part
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behavioral research with human participants. Desired Qualifications: Preferred (but not required): experience with cochlear implant users; skills in REDCap, MATLAB, R, Python, or other experimental platforms
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longitudinal analysis of employment or education-related outcomes (using Stata and/or R); Ability to work independently; Experience working on research projects with a research team, including students and paid
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral
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Contact:Anne R Vincent - anne-vincent@uiowa.edu Cmed-Internal Medicine General Hospital 220 Hawkins Drive C33 GH Iowa City, IA 52242
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and biotechnology for a paid Fellowship ($15/hour – remote with two in person events). Prior Fellows have jumpstarted their careers in Venture Capital, Management Consulting, Technology Transfer, R&D
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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal
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position in the Fast Sensors R&D group at SCIPP. As a leading academic facility for R&D in sensor and detection system design, SCIPP has made major contributions to particle detector development. The group’s
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and