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Field
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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software used with plotting and analyzing data. Preferred Qualifications – Experience, Education, Knowledge & Skills Experience with cultivation of and physiological measurements involving bacterial cells
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regression models (e.g., SAR, LME) to derive ecological insights from big data sets. The project entails developing reproducible and scalable methodologies, using common software and programming languages
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the alma mater of many notables such as President William Howard Taft; Albert Sabin, developer of the oral polio vaccine; Astronaut Neil Armstrong and Mary Weinberg, 2008 Olympic gold medalist. UC is
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statistical analysis software is required. Required Qualifications Ph.D. with a degree in biochemistry, immunology, pharmacology, physiology, pathology, or related field and expertise in immunological responses
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Qualifications: A record of peer-reviewed publications. Expertise in the use of 3D imaging programs (e.g., Dragonfly, Avizo, or VG Studio). Competency with statistical software (e.g., R). Position Description We
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Fowler School of Engineering offers undergraduate degree programs in Computer Science, Computer Engineering, Data Science, Electrical Engineering, and Software Engineering, and a graduate program in
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desired. • An excellent track record, as evidenced by first-author publications and conference presentations. • Knowledge of programming languages, such as MATLAB or Python, and statistical software
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or papers from Ph.D. currently under review Experience with life-cycle costing, life-cycle environmental assessment methods and/or software Strong skills in Python (preferred) and/or a similar programming
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. Responsibilities for this position includes:* Developing deep-learning approaches for insight and