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mechanisms underlying this developmental programming. Current studies focus on how bile acid signaling during early postnatal life establishes adipose tissue architecture and function, including effects on
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the UF Center for Autism and Related Disabilities ( http://card.ufl.edu/ ), the UF Health Center for Autism and Neurodevelopment ( https://autism.psychiatry.ufl.edu/ ), the UF Clinical and
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strongly supported by our college-level instructional design team for course development and delivery and by our research core for grant development and submission. Dr. Jinling Liu’s laboratory ( https
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) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques Job
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related quantitative STEM field. • Strong programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable. • Demonstrated research experience in biomedical informatics, artificial
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learning to quantum chemistry and a programming background in Python and C++. Preferred: Familiarity with wavefunction-based quantum chemistry. Experience and interest in fundamental studies of chemical
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ability to work effectively both independently and as part of a collaborative research team. Preferred: Familiarity with relevant software packages and/or programming languages, such as Bruker TopSpin
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will be relevant. Experience with AFNI/SUMA, SPM, FSL, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required
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similar, with a focus on large-scale, quantitative research. · Strong programming skills in Python and experience with scientific computing, data processing, and reproducible research workflows
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production Aptitude in scientific writing, data visualization and interpretation Advanced modeling/programming skills Proficiency with environmental remote sensing and interpretation Familiarity with HYDRUS