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Field
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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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in the group’s detector-related activities including LIGO-Virgo detector characterization, optical simulation studies for stray light modeling in existing and future ground-based detectors, and the
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, optimization, or simulation models to improve clinical operations and resource allocation • Advancing systems engineering methods for health delivery design, evaluation, and transformation • Designing and
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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reactivity at the single-atom level Understanding of atomic mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. (4) Modeling Atomic Processes
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over 70 scientists working on photonics and related fields, e.g., developing mathematical models for photonic simulations. About the organisation The Faculty of Science & Technology (Technische
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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-hungry. But many lines of research in these domains have been faced to date by designing particular simulation systems, mainly based on physical laws (e.g., differential equations). To this end, a
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modeling of x-ray spectroscopies sensitive to molecular chirality; simulations of x-ray–induced ultrafast electron-transfer, decay, and nuclear dynamics in gas- and liquid-phase systems; and the development