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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on distributed quantum computing. The project aims to develop superconducting
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empowers people to achieve this aim and to collectively, and individually, make a real difference. The role An exciting position for a Research fellow in Distributed Computing has arisen in the School
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individually, make a real difference. The role An exciting position for a Research fellow in Distributed Computing has arisen in the School of Computer Science and Electronic Engineering. This is a part time (18
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researcher to contribute to the EqBlankets project, focusing on distributed continuous computing systems. The researcher will play a key role in modeling these systems using Service Level Objectives (SLOs
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Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller / Completed university stud...
Area of research: Scientific / postdoctoral posts Starting date: 01.05.2025 Job description: Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller With cutting-edge research in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
and Qarnot computing, aims to develop and promote best practices in geo-distributed hardware and software infrastructures for intensive computing with a reduced environmental footprint. The aim
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
Job description:Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Time Synchronization of Distributed Radar Sensors) Posting Start Date: 02/05/2025 Job Description: Job Description For a project
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the emergence of edge computing, data storage will become more geo-distributed to account for performance or regulatory constraints. One challenge is to maintain an up-to-date view of available content in such a
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale