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Field
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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture
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Separations Postdoctoral Research Associate will develop capacitive deionization systems for the selective recovery of critical materials and also investigate electrode aging, degradation, and durability
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environment with the highest scientific standards. The focus of the current position is in the areas identified by both arXiv categories hep-ph and hep-th. The postdoctoral project will focus on aspects
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-14180 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher to become part of our team at the Division of Subatomic, High
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in Singapore and CRHEA in France), the University of Warsaw and UNIPRESS (Poland), and CNR Lecce (Italy), with whom the postdoctoral researcher will collaborate. What we offer • Opportunity to work
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are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 4 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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programme Reference Number 304--1-14193 Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position focuses on securing large-scale distributed AI
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Landscape Architecture Planning and Management (LAPF), along with collaborators in Norway, The Netherlands, Germany and Estonia. You will be responsible for designing, developing, conducting, and analysing
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language, vision–language, and vision–language–action models to improve generalization. A key objective is to design lightweight and efficient learning architectures suitable for deployment on resource