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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, or any another relevant discipline. Have interest and experience with deep learning and image analysis. Have interest and
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of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data Demonstrates ability to perform
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India. The role includes designing quantitative and qualitative data collection tools, leading survey fieldwork in collaboration with in-country partners, conducting rigorous data analysis, and
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fundamentals of mass spectrometry. Previous experience and keen interest in developing skills in data analysis, statistics, and/or visualization is an advantage. Previous hands-on experience (and passion
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, manage, and analyze diverse datasets, including EHR (EPIC), surveys, interviews, and population-level data. Qualitative & Quantitative Analysis: Conduct interviews or focus groups, perform statistical and
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of Byzantine Art History (Faculty of Historical and Cultural Studies). The research focus is on the analysis of Byzantine visual art, taking into account iconographic, stylistic, and cultural-historical
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for use in modelling and analysis. Running model simulations (training will be provided). Analysing simulation outputs and presenting results through data visualization. Qualifications We are looking for a
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Electrical or electrochemical characterization of materials or devices Experimental design and electrical characterization of device performance and associated data analysis Peer-reviewed publication as first