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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
learning (noise robustness, statistical generalisation) with those of symbolic AI (explainability and logical reasoning). The objective of this thesis is to study the contribution of neuro-symbolic
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome applications from qualified people regardless of binary and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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fluency in English Willingness to learn and take new challenges, abillity to work independenly, analytical thinking Good interpersonal skills and collaborative attitiude Specific Requirements you may find
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https://forms.cloud.microsoft/e/W473FY1WNn Requirements Research FieldEngineering » Biomedical engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Your profile A. Education A.1 You
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The position is focusing on the use of digital technology in child welfare services. Norwegian child
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
, [email protected] . If you have any questions about the recruitment process, please contact HR Consultant Kristine Grønvold, e-mail: [email protected]. Application deadline: 11.10.2026
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analyses with an interest in epigenetics and adaptation in wild plant species. You are resilient, eager to learn, and enjoy finding creative solutions in a dynamic interdisciplinary and international
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thinking deeply about the results and modelling them. Applicants are not expected to bring expertise in all listed areas; the required methods will be learned during the project. This is a collaborative