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Field
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approaches to multi-level data analysis and structural equation modeling, as well as familiarity with relevant computer packages (SPSS, R, etc) is required. Strong writing skills are important as
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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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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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
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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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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied
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Texas A&M University, Physics and Astronomy Position ID: TAMU -PHYS -RAP [#29825, R-081877] Position Title: Position Location: College Station, Texas 77843-4242, United States of America [map
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pages); reference letters will be solicited upon application. Postdoctoral Research Associate (Experiment) Apply: R-083317 Postdoctoral Research Associate (Theory) Apply: R-083318 TAMU is an Equal
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. We are a highly collaborative group with an international reputation. What we are looking for Experience working with sequence data, programming in python or similar language (e.g. R), and a strong