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Process Engineering Department (CBS) is an entity of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program of international level, in
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state-of-the-art verification techniques and tools for scientific software. The project is part of a program, sponsored by the U.S. Department of Energy and the U.S. National Science Foundation, named
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executing experiments, and contributing conceptually to the overall research programme. Good organisational and communication skills and the ability to work as part of a team are essential. This is a full
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 month ago
Zone Description DOE Scholars Program Overview The DOE Scholars Program at the U.S. Department of Energy Office of Policy (OP) offers paid opportunities for high school students, undergraduate students
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for defossilising chemical manufacturing. The position sits within the Centre’s Moonshot programme, focused on ambitious new approaches to sustainable chemical production. The post is offered on a fixed term basis
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The Mobilizing Insights in Defence and Security (MINDS) program of the Department of National Defence (DND) is committed to fostering the next generation of security and defence scholars in
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The Qing Laboratory at Oxford is seeking a highly motivated postdoctoral researcher to join a NERC-funded Pushing the Frontiers of Environmental Science programme focused on advancing nanopore
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The Qing Laboratory at Oxford is recruiting postdoctoral researchers (multiple positions available) to join a Bill & Melinda Gates Foundation–funded programme focused on developing innovative
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challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee
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: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Computer Science / Augmented Reality , Programming Languages Electrical and Computer Engineering / Machine Learning Appl