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are currently seeking applications for a Postdoctoral Research Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne
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Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne on algorithmic research projects, and contribute to the collegial
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remote sensing approaches using ocean-color and thermal-infrared satellite observations to study marine organosulfur compounds and ocean–atmosphere interactions. Key research activities include algorithm
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Researcher (R3) Application Deadline 22 Apr 2026 - 09:54 (UTC) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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2 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours 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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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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or neuroimaging data. (0-20) Demonstrable knowledge or experience in the fundamentals of quantum computing, variational algorithms or quantum programming environments (e.g., Qiskit or similar), as well as in
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into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities