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. Experience with ANSYS Fluent, STAR-CCM, and/or FORTRAN and Python programing languages are preferred. Experience in using High Performance Computing (HPC), especially involving use of a Linux environment, is
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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publications in peer-reviewed journals, demonstrating a commitment to scientific excellence and innovation. Experience with data analysis pipelines, programming (e.g., Python, R), and bioinformatics software
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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major programming language, such as Java, C/C++/C#, Python, and preferably in several languages; proficiency in the Linux operating system and deployment and configuration of virtualised environments
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strong theoretical and technical background in vision research. Proficiency in programming (MATLAB or Python) and experience in human neuroscience research are required. Application Instructions
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. The ideal candidate will have a completed degree (Masters/PhD) in Applied Mathematics, CSE, or comparable programs with above-average results; good programming skills and experience in C++ and Python
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
ability to program (e.g, python, R, and/or javascript). Must have at least some experience working with geospatial data. Preferred Qualifications, Competencies, and Experience Ability to develop impactful
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culture, flow cytometry, microscopy, and electrophysiology Experience with R or Python Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics