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- Delft University of Technology (TU Delft); today published
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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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Field
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an understanding of complex systems with a vast amount of software requires effective architecture explanation frameworks, visualizations and identification of architectural refactoring opportunities in legacy
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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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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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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architectural design explorations and the implementation of software development platforms. The goal of this PhD is to create a modular and extensible simulation infrastructure that facilitates design
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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for design reviews and hands-on lab measurements. Electronic Circuits and Architectures (ELCA) Join a pioneering research team dedicated to advancing the design and development of high-performance electronic
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Internet is undergoing a fundamental transformation from cloud architectures to a distributed continuum spanning edge, cloud, and space. This shift demands revolutionary approaches to how we orchestrate
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highly motivated Ph.D. candidate. The background is preferably in electrical engineering, computer architecture, control, computational neuroscience, or similar fields. Unconventional backgrounds supported