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Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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) Positions Postdoc Positions Country Luxembourg Application Deadline 1 Dec 2025 - 12:00 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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skills: Knowledge of vertebrate skeletal morphology (mammals and/or reptiles). Skills in database management and integration of large, multi-source datasets. Familiarity with GIS, phylogenetic, or modeling
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-throughput crystallographic workflows for AI-readiness. · Ensure structural outputs are suitable for training and benchmarking ML models. · Contribute to the development of the Fragalysis, Scarab database, and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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outside academia. This PhD fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) .Six national research centers for Artificial Intelligence are set to launch
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programmes, see General assessments for specific countries and Assessment database . Terms of employment in the regular programme Employment as PhD fellow is full time and for maximum 3 years. Employment is
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27 Nov 2025 Job Information Organisation/Company Ecole Normale Supérieure Research Field Computer science » Informatics Researcher Profile Other Profession Positions Other Positions Country France
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of digital twin methodologies. Required Qualifications PhD in computational science, computer science, or a related discipline. Expertise in graphical modeling. Experience with software engineering, including
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, including overseeing the research database and preparing reports. You will undertake prediction modelling and/ epidemiological research using population datasets including statistical analyses of the data