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Field
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the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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simulations and/or computational modeling in optics ¿ Experience in optical instrumentation development with user interface (GUI) programming in C#, Python, or LabVIEW ¿ Experience mentoring student researchers
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on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social
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the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate, Multiple Vacancies Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, histone modifications), and the environment (metabolome, intestinal microbiome) in the onset and progression of the complex diseases. We have performed multiple functional genomics experiments (ATAC-seq
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other related field. Program proficiency in computer programs such as Abaqus, SolidWorks, MatLab, Mathematica, and Python. Knowledge of fibers, yarn and textiles, and textile fabrication processes. Strong
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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simulators. Proficiency in Python, including data handling (pandas, NumPy), visualization (matplotlib) and integration within simulation workflows. Understanding of sector coupling (e.g. P2G, P2H), energy