33 python "https:" "BCAM The Basque Center for Applied Mathematics" research jobs at Texas A&M University
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Experience with unstructured grid ocean modeling system. Experience of using programming language Python to deal with large 3D ocean data. Ocean modeling under Linux environment; Python programming; SCHISM
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Programming experience (e.g., R, Python) and interest in machine learning approaches Doctoral degree (PhD or equivalent) in Education, Psychology, or a closely related field by the start date Knowledge, Skills
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one or more of the following: Python, SAS, STATA, Matlab, or related statistical packages. Strong attention to detail and high ethical standards. Willingness to learn and acquire new skills as needed. A
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., R, Python, SAS, or STATA) Experience working with large population dataset (e.g. EHR, claims data) Background in health informatics, population health research, or biostatistics, computer science
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python, and Adobe Illustrator is a plus. Experience training other laboratory members in the techniques listed above. Responsibilities
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the use of MATLAB and python Manuscript preparation and ability to communicate research results clearly Knowledge, Skills, and Abilities Ability to multitask and work cooperatively with others
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-wave). Ability to perform advanced complex network analysis (preferably with experience on NetworkX). Ability to obtain advanced graphics (e.g. seaborn). Code in Python, C and BASH. Why Texas A&M
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical