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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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Proficiency in R and Python is required; experience with C/C++, or Java is desirable Other Position Details: Start date: As early as August 1, 2025 Initial term: 1 year, with the possibility of extension based
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-cell electroporation, software development, optogenetic techniques, mouse behavior. Coding skills (Python, Matlab, R). Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access
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with bioinformatics tools and analyses. • Experience with electrophysiology and proficiency in MATLAB/Python/R models of auditory and vestibular diseases. FLSA Exempt Full Time/Part Time Full Time Number
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
training and experience in toxicology, pharmacokinetics, transport modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
training and experience in toxicology, pharmacokinetics, transport modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far