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Field
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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and development in the field of software engineering for dependable and safe automated driving systems. Conception, design, and implementation of software architectures and prototypes in
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iii) developing socially just heat adaptation strategies, that are context and conflict sensitive. This PhD position is situated at the Faculty of Architecture and the Built Environment, Department
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, semiconductor manufacturers, and research institutions, has united to spearhead the development of specific aspects of 6G: Software antennas, AI-driven network software, compute stack, and groundbreaking 6G
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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staff position within a Research Infrastructure? No Offer Description We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique
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on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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PhD candidate who will contribute to Work Package 3 of the Add-reAM project, a large NWO-funded interdisciplinary programme: Universities: TU Delft, UTwente, TU Eindhoven, Erasmus University Rotterdam
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transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures such as neural operators and transformers. The expected start