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, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required. Experience in analysis of genomis /trancriptomic /epigenomic data including
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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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data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in a
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aspects of the project. The project is a collaboration between the Myles Lab https://tamu.edu/myles-lab/ and the Ndeffo Lab https://vibs.tamu.edu/MartialNdeffo . Research project will investigate
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machine learning, deep learning, data visualization, and applied analytics for multi-modal datasets. Technical proficiency with Python, R, SQL, SPSS, Tableau. Architectural and design software expertise
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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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, or probabilistic reasoning. Proficiency in Python, C++, or MATLAB, with demonstrated ability to implement complex algorithms. Excellent written and oral communication skills. PREFERRED QUALIFICATIONS Experience with
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data Multiunit electrophysiological experiments, particularly using Neuropixels Software Expertise and Data Analysis: pCLAMP, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python
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environment; Python programming Preferred Qualifications Experience with unstructured grid ocean modeling system such as SCHISM. Experience of using programming language Python to deal with large 3D ocean data
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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