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, innovative approaches to data analysis, integration, visualization, and modelling using new technologies at the individual cell level in order to better characterize the regulation of cell fate during
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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, Biology, Bioengineering, or related field. Strong technical background in experimental rig design and construction. Proficiency in Python programming for data analysis and experimental control. Experience
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process consists of two phases: - Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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field (e.g., natural science, engineering, environmental studies) from an accredited institution. Two (2) years of related experience (e.g., data analysis, environmental quality management, public
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quantitative modeling and data analysis. Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI. Ability to work effectively on
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anemometers. Develop Measurement Techniques: Innovate and refine experimental methodologies to quantify uncertainties in fluid dynamic measurement systems. Experimental Data Analysis: Utilize MATLAB, Python
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research and teaching in applied analysis, computational mathematics, data science, discrete mathematics, financial mathematics, stochastics, and statistics. The Department of Applied Mathematics is the only
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; addressing the spread of misinformation and disinformation in social networks; using algorithms or computer simulations to study gerrymandering; or the role of information visualization to investigate and