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encourage motivated individuals with advanced programming skills and strong publication records to apply. Some skills in analyzing/evaluating large data sets are highly desirable. Knowledge of an
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expected. Familiarity with 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
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experience preferred (cleaning, checking, recoding data for analysis). At least intermediate knowledge of SAS or R programming required. Knowledge of Python and/or machine learning helpful but not
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statistical and/or mathematical programming languages (e.g., R, Matlab). Applicants with experience in marine mammal bioacoustics; machine learning; Bayesian statistics; statistical simulations of
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neuropathies, age-related macular degeneration, diabetic retinopathy, inherited retinal diseases, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit
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programming for data acquisition, instrument control, and image analysis using LabVIEW, MATLAB, or related platforms. Candidates must have at least one first-author research article accepted for
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of manuscripts and scientific presentations. Experience with programming or quantitative analysis tools (e.g., MATLAB, Python, R, Spike2, or related platforms) is desirable. The University of Miami
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-generation sequencing (NGS) data analysis Understanding of epigenome biology Solid programming skills in scripting and/or compiled languages Familiarity with Linux/Unix environment and compute clusters