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Field
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. Scientific programming experience using Python. Experience utilizing high-performance computing clusters for research applications. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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relevant programming languages (e.g. Python, MATLAB), experience with MRI data processing, and broad expertise in cognitive neuroscience methods are particularly important. These skills should be
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to the effective date of appointment with a minimum of one year eligibility remaining. • Experience in computational data analysis and scientific programming (e.g., Python, MATLAB, or similar). • Demonstrated
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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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to design and operate catalytic and/or electrocatalytic reactors Ability to synthesize and characterize materials Ability to model and analyze process performance Proficiency in Python or an equivalent
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reactors Ability to synthesize and characterize catalysts Proficiency in Python programming Ability to apply machine-learning methods to scientific data Ability to work independently and across disciplines
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Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Has strong programming (Python and R) skills and molecular biology background
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programming/coding skills (e.g. Matlab, Python), and are quality scientific writers. Funding is available for up to two years, with renewal for year two based upon performance in year one. This position is part
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engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming. Demonstrated experience in applying and extending CFD codes
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Epidemiology, Biostatistics, or a related field Required Qualifications, Competencies, and Experience * Proficiency with R, SAS, or Python * Quantitative experience in epidemiology and statistics * Research