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Description In collaboration with Chalmers University of Technology (Chalmers), the Technical University of Denmark (DTU) offers a new PhD position, “Scalable LLM-driven Semantic Digital Twins for Building
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applications for a joint professorship under the Jülich Modell with the Hasso-Plattner-Institut für Digital Engineering gGmbH (HPI) to be filled as soon as possible: Full Professorship (W 3) for Software Testing
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 11 days ago
:2011.10975. Prépublication, arXiv, novembre 22. http://arxiv.org/abs/2011.10975 . Hlad, Nicolas, et Benoit Verhaeghe. 2025. Migrating Katalon Studio Tests to Playwright with Model Driven Engineering. https
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project and joining Dr. Jordi Cabot’s team (20+ members). BESSER is aimed at building better smart software faster with a combination of low-code / model-driven and Artificial Intelligence techniques. As
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) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research
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life science doctoral student in Data-driven epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life
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presence in Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/22172979/research-software-engineer-x28-data-science-and-ai-institute
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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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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based