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Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC) Considerable cross-centre
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manufacturing systems including design/modeling/control of manufacturing systems, cyber-physical systems, applied AI, smart manufacturing and data-driven discovery/optimization, among others. Strong written and
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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Hospitality performance and revenue optimization Tourism analytics and predictive modeling Sustainable tourism and community engagement Technology, AI, and smart destinations Indianapolis provides a living
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scoping to deployment and monitoring of production-grade models—with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Senior Data Engineer Department: ERIK | Office
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Public Health. More information on the College can be found at https://www.uta.edu/academics/schools-colleges/conhi/research . Engineering: All areas of engineering will be considered with an emphasis
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, veterinarians, veterinary technicians, veterinary technology students, and lay people from the community. Experience or strong interest in simulation-based veterinary medical education, including development
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 21 days ago
Research Engineer (f/m/x) 102864 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly
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–12): State of the art and system modeling This phase will focus on an in-depth literature review on mobility management in satellite and non-terrestrial networks, as well as AI-driven networking