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a Linux environment. 3) Experience in one or more programming languages such as Python, Perl, C, or Fortran. 4) Experience in one or more molecular dynamics simulation software such as CHARMM, OpenMM
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analysis tools such as R or Python is recommended. Excellent written and verbal English skills, strong communication and interpersonal skills, and be capable of working with large collaborative teams. Baylor
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relevant for data manipulation and analysis including experience with creating and using complex models in Simulink & scripting in Matlab, Python, R. A successful candidate must model Argonne’s Core Values
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knowledge of models of strongly correlated electron systems Proficiency with scripting or programmatic languages, such as Python, c, and matlab Excellent written and oral communication skills Motivated self
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data acquisition, data analytics, statistical modeling, and machine learning in manufacturing environment. Proficiency in Python and common data science and machine learning libraries (e.g., NumPy
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under limited supervision, • Ability to produce outcomes under strict deadlines, • Experience using Illumina sequencing, and, • Knowledge and skills in Python/MatLab for image processing, programming, and
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annotation, comparative or population genomics, command-line work in a Linux/HPC environment, and scripting in at least one of Python, R, or Bash. Hands-on molecular biology (DNA extraction, library
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Experience Strong background in machine learning, deep learning, or related AI techniques. Proficiency in Python and at least one major deep learning framework (e.g., PyTorch, TensorFlow). Evidence of research
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analytical and quantitative skills, including statistical programming (e.g., R, Python, or similar). Knowledge of causal inference methods and/or comparative risk assessment approaches. Familiarity with
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation