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Field
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in R or Python. Experience in applied economic analysis, with preference given to those with experience developing and using structural economic models. Experience with U.S. commodity price analysis
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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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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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Qualifications Minimum Education and Experience PhD in genetics/molecular/cell biology field. • Experience in genetics, molecular and cell biology. • Computational experience, particularly in using R package and
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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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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' 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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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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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