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-emotional aging, and/or translational impact. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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or Departmental Website: https://www.husainlab.org/ (link is external) How to Submit Application Materials: Please submit application materials addressed to Dr. Sohail Husain and electronically to Dr. Olivia Tsai
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fellowship or training grant, that develops the individual’s research skills for their primary benefit. * Applicants must meet the eligibility requirements for funding by a T32 mechanism. Job Description
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of Engineering at the University of Texas at Arlington invites applications for a rank Post Doctoral Research Associate. This position will focus on analyzing imaging data, developing novel methods for analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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Coordinator will support the Associate Vice Chancellor for Research in the development, implementation, and evaluation of high-quality professional development and training programs for postdoctoral fellows
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departments in integrating active learning approaches into their undergraduate curriculum. The successful candidate will work closely with faculty to develop and implement active learning strategies
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for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable