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Field
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) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program
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): Chemistry and Materials Sciences (11 ) Computer, Information, and Data Sciences (9 ) Earth and Geosciences (2 ) Engineering (2 ) Environmental and Marine Sciences (6 ) Life Health and Medical
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globally in the 2023-24 academic year with cutting-edge programs in Applied Science, Aviation, Business, Technology, Engineering, Safety, Security, and Space. The Opportunity Embry-Riddle Aeronautical
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Postdoctoral Fellowship: Community-Engaged Research (CEnR) - (250000S6) The University of Maryland School of Pharmacy, Department of Pharmacy Practice, Sciences, and Health Outcomes Research’s
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structured development programme and provision of both formal and 'on-the-job' training. The posts are also open to those who are returning to academia after a career in another sector. Successful applicants
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21 Aug 2025 Job Information Organisation/Company Politécnico de Leiria Department CDRSP Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions
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cost savings in aerospace manufacturing. We aim to develop a life cycle-informed design approach that enables rapid assessment of the cost and environmental impacts of recyclable and recycled materials
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impacts of recyclable and recycled materials in aircraft systems. Through close collaboration with industry partners, this research will guide sustainable technology strategies, addressing key cost/benefit
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conferences, presenting results to stakeholders and industry experts. Job Requirements: Ph.D. in electrical engineering, computer science, or a related field, with a strong background in AI/ML, wireless
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties