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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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(E13 TV-L, 100%, starting 1 April 2026 or as agreed) 22.12.2025, Academic staff and positions for doctoral candidates The Professorship “Algorithmic Governance and Public Policy” (Prof. Daria
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 1 day 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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Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101162875 Is the Job
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close to completion) or experience equivalent to PhD level. Applicants must have relevant knowledge and experience in theoretical computer science (automata, logics, algorithms, complexity) and/or
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28 Jan 2026 Job Information Organisation/Company Consejo Superior de Investigaciones Científicas Research Field Physics » Quantum mechanics Computer science » Programming Mathematics » Applied
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Profile Recognised Researcher (R2) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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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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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models