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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
system Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10252 Requirements Skills/Qualifications Engineering and/or Master 2 degree in Computer science / Applied mathematics with
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obtained) start your degree 31 March 2027 have an honours degree (First Class or Second Class – Division A) or masters degree with a research component in one of: biostatistics statistics mathematics
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2 Jul 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Mathematics, Computer Science and Physics Research Field Computer science Researcher Profile First Stage
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
). The division is part of the Department of Engineering Science and Mathematics. The department has several other research topics with activities that border on material technology, such as materials mechanics and
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). The division is part of the Department of Engineering Science and Mathematics. The department has several other research topics with activities that border on material technology, such as materials mechanics and
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, machine learning, computer science, mathematics, physics, engineering, cybernetics, economics, data science, or a related field. Foreign degrees must correspond with the admission criteria for the PhD
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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17 Jul 2026 Job Information Organisation/Company Center for Theoretical Physics PAS Research Field Physics » Other Mathematics » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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process for PhD students. Where to apply Website https://www.academictransfer.com/en/jobs/362809/phd-position-in-ic-design-group… Requirements Specific Requirements You are highly motivated and an
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fraction of the data we collect. In this project, we will therefore seek to use advanced mathematical and machine learning approaches to identify hidden information within cardiac electrical signals that is