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aligned with the strategy of the PEPR ICCARE programme, which aims to structure ambitious research in support of the digital transformation of the cultural and creative industries (CCIs). It contributes
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experimentation. By integrating advanced robotics, intelligent workflows, and multidisciplinary expertise, HTMR enables researchers to rapidly design, synthesize, and optimize materials and processes across fields
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, or process improvement initiatives within construction, facilities, or related project environments. Experience administering and optimizing project management platforms such as Procore and experience in
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well as preparing new data to be used in a PhD project that will start in 2027. See www.bel-tue.nl for more information about the project. Where to apply Website https://www.academictransfer.com/en/jobs/362942/data
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, optimization, and large-scale systems management. This position is generally structured to be second and third-tier support to other user and system support functions. A high degree of interaction with people is
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development and optimization, including troubleshooting synthesis, labeling strategies, and analytical workflows. Familiarity with handling radioactive materials and radiation safety practices is strongly
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of operational planning relating to research activities and ensures optimal communication across stakeholders. The position leads pre- and post-award grant administration, internal and external research
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
information is available at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . Work plan and objectives to be achieved: The aim of this project is to study and develop robust optimization
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industry. In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily