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Field
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sensing and decision-support technology to improve profitability and sustainability of producers of Southeast Missouri and the rest of the humid Mid-South. Responsibilities: Responsibilities will include
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The Vehicle Technology Assessment (VTA) Group within the Vehicle and Mobility Systems department (VMS, vms.taps.anl.gov ) at Argonne National Laboratory is looking for a postdoctoral appointee to
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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we are looking for someone with proven experience in semiconductor device fabrication and...
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Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
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Description The U.S. Department of Energy (DOE) Science, Technology, and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs
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of Mechanical Engineering, focused on innovative research in the synthesis of binder and solid-state electrolyte in a battery group. About us At the department of Mechanical Engineering we unite the power
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of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 4 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Goodman How to Apply A complete application consists of: An application, including academic history, work
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering
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free of adventitious agents (AAs) such as bacterial and fungal contaminants. Current AA detection methods require lengthy culture times and are not suitable for continuous manufacturing, where rapid