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from the scientific literature. On the experimental side, it will design and refine electrochemical setups for rapid screening of corrosion rates. Given an existing interest for the university, the work
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computing? Then join QuBriC, a pan-European doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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through the development of cutting-edge advanced microscopy techniques. Its main focus lies in interdisciplinary research at the intersection of photonics and biology. Main Tasks and Responsibilities Design
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. The objective of the research is to advance the understanding of the mechanical behaviour of STC beams and to develop design methodologies and engineering solutions. The work is expected to combine experimental
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machine learning algorithms, the system will be designed to recognize and characterize building activities, occupancy patterns, environmental conditions, and other indicators relevant to the operation of
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, advanced disease models, therapeutic innovation, biomarker development, clinical translation, patient engagement, and the ethical, regulatory and health-economic aspects of therapy development. The network
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biology, advanced disease models, therapeutic innovation, biomarker development, clinical translation, patient engagement, and ethical, regulatory and health-economic aspects of therapy development
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its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions