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are looking for a PhD candidate to research new adaptative architectures and foundation models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges
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Engineering with excellent grades. Knowledge of Digital/Mixed-Signal Integrated Circuit (IC) design and Computer Architecture. Solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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of solving such systems are immense: slow or unstable convergence, lack of robustness, and scalability bottlenecks on modern parallel architectures. As a PhD researcher, you will be at the frontier of tackling
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-volatile silicon devices that enable innovative architectures to efficiently execute complex, irregular, and highly dynamic computational tasks. Realising computing systems based on technologies like FeFETs
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environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works
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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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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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conferences; Actively participating and contributing to the PhD community of Fertile Soils and the Landscape Architecture and Spatial Planning cluster. You will work here The research is embedded within
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will investigate novel frameworks to accelerate SRS in HPC environments. The PhD candidate will work at the Ship Hydrodynamics section of the Department of Maritime and Transport Technology (Faculty