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infrastructure through new process technology development. This position will involve reaction engineering efforts to enable facile biomass fractionation processes, ideally in existing or retrofitted kraft pulping
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potentially collaborate with his collaborators across the university and the medical and dental schools. We seek candidates with strong analytical, computational, and communication skills. While a background in
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, computer science, physics, or engineering by the start date of employment. Strong expertise in one or more of the fields of scientific computing, data science, and quantum computing accompanied by strong programming
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: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is
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the Children’s Nutrition Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center/education/postdoctoral-fellowship-in-childrens
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Posting Information Posting Details Department Applied Physical Sciences - 318100 Posting Open Date 03/27/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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Description The Department of Mathematics and Statistics at Georgetown University (https://mathstat.georgetown.edu/ ) invites applications for a postdoctoral researcher in Mathematics. The position will start
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written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Background in biochemistry, cell
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a related field, and should have or be approaching a PhD in a related discipline (Physics, EE, Chemistry, or Computer Science). Applications must be submitted online at https://puwebp.princeton.edu
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Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of scientists and build a