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skills and strong publication records to apply. Some skills in analyzing/evaluating large data sets are highly desirable. Knowledge of an advanced programming language such as MATLAB, Python, etc. is
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communication skills, including preparation of manuscripts and scientific presentations. Experience with programming or quantitative analysis tools (e.g., MATLAB, Python, R, Spike2, or related platforms) is desirable
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working with large biological datasets and statistical software (R, Prism, Python, or equivalent). · Prior experience in gut-brain axis research, neuroimmune signaling, chronic pain, opioid biology
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of unstructured clinical and biomedical data. 4. Experience with cloud-based and high-performance computing environments to support scalable data processing and model development. 5. Proficiency in Python and
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, Statistics, Genetics, Computer Science, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis
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intermediate knowledge of SAS or R programming required. Knowledge of Python and/or machine learning helpful but not required. The University of Miami offers competitive salaries and a comprehensive benefits
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cytometry. • Must have experience working with vertebrate animal models. • Experience with CRISPR and shRNA technology preferred. • Experience with R or Python and ability to analyze large datasets
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Matlab, Python, and/or R programming languages is a plus. Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Analysis of fMRI and MR spectroscopy data. Acquiring