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First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is
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remuneration (the 13th salary) Topics: immersive technologies, human-computer interaction in VR, AR, MX, tools for creating immersive environments. Where to apply E-mail konkursy-wh@agh.edu.pl Requirements
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. Documentation of the work carried out and involvement in the drafting of scientific articles and conference papers. Participation in training activities within the PhD programme and in project coordination
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). For more information: https://www.cordis.europa.eu/project/id/101225380 Research focus The PhD candidate will work on one or more of the following interconnected areas: AI‑ and machine‑learning‑based
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The role We are researching testing and validation procedures for new high efficiency electrical machines for future aircraft power generation systems in collaboration with Safran Electrical & Power
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engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 10 May 2026 - 23:59 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours
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engineering Mathematics » Applied mathematics Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:00 (Europe/Athens) Country
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engineering Mathematics » Applied mathematics Mathematics » Probability theory Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:59 (Europe/Athens
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extrêmement courts, augmentant considérablement le nombre d'itérations. Chaque itération nécessite aussi le calcul du facteur d'Eddington, complexe car sans solution analytique exacte. L'intégration d'un réseau
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information please visit the TransiT website https://transit.ac.uk/. We are seeking a proposal for a project contributing to Digital Twin Development this work involves computer programming and data analysis