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Designing and implementing software-defined radio prototypes and measurement experiments Evaluating the proposed methods through simulations, laboratory experiments, and relevant measurement datasets
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within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with sophisticated characterization
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steel roof deck systems exposed to different fire scenarios. The research methods include furnace fire tests, numerical simulations and analyses on the full-scale perforated steel deck system
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understand the structural behaivour of perforated steel roof deck systems exposed to different fire scenarios. The research methods include furnace fire tests, numerical simulations and analyses on the full
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work
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aggregate societal impacts and equity implications affecting different groups of people, as well as on how to integrate this assessment into existing local governance processes. The PhD project should focus
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proposed PhD research project, including an overview of related research in the field, important academic theories/debates, research hypotheses/questions, research methods, work plan, data sources, and
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refine LCA models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability
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: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods