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with computational scientists to integrate and interpret large-scale genomics data. Present research findings in lab meetings, departmental seminars, and conferences; prepare manuscripts and fellowships
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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in data compilation and analysis experience with large dataset (observations or models) experience with computing languages such as python, R or MATLAB experience with presenting at conferences and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
and completion of (or currently completing) a clinical internship in an APA accredited program Experience in quantitative (statistical, mathematical, computational) research with large data sets
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Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application
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, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific literature). Our
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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate: Research in Medicinal Chemistry in Jun Wang Lab (Medicinal Chemistry Dept) Department Pharm - Pharmaceutical
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demonstrated experience with a set of tools appropriate for working with large-scale data science including application of machine learning. In addition, applicants must have demonstrated leadership experience
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and