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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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oral communication skills, including experience in producing comprehensive, high-standard reports and data visualization, and contributing to manuscript writing Great emphasis will be placed on personal
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Science, Statistical Physics, or any other related field. The skills that we are looking for include: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph
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defense, water technologies, manufacturing and logistics operations as well as research into sustainable energy sources. For more information, please visit https://www.unr.edu/engineering Contact: Floris
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https://www.timeshighereducation.com/unijobs/listing/403842/post-doctoral-assoc… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteNEW YORK UNIVERSITY ABU
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tools and pipelines for omics data analysis, including differential expression, pathway enrichment, and network analysis Experience with statistical analysis software (R, Python) and data visualization
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Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career opportunity with great benefits? Look no further! Join our
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Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career opportunity with great benefits? Look no further! Join our
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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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Job Summary/Basic Function: The Postdoctoral Research Fellow will specialize in computational modeling and data science for water and energy resilience and join a transdisciplinary team as part of