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team and mission: To model, design, implement, and analyze data-intensive systems and applications. Inspired by real-world problems, our work focuses on fundamental scientific contributions. We welcome
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across the spectrum. The faculty member will routinely join in the collaboration with internal and external stakeholders when developing programs and to help move the community toward a prevention model
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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computational and data‑analysis methods and software, including simulation, modelling, and data management. To strengthen the field of computational science at the Faculty of Science, we are now advertising two
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consultation model for patients with palliative care needs. Key Tasks and Responsibilities The successful candidate will be expected to: a) Refine the study protocol, prepare interview schedules, and manage the
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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service
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AND PROCESSES : Metals, Manufacturing and forming processes, Durability and degradation, corrosion, Fracture mechanics MODELING - SIMULATION : Data entry: digital representation of materials, behavior
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is looking for a PhD Student (f/m/d) - Electrochemical swing adsorption of carbon dioxide. Your tasks Performing quantum mechanical and ML-based simulations to determine CO2 adsorption energies
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role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance
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of developing a digital twin model of renewable energy generators”, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), DOI: 10.1109/ISIE.2019.8781529 [4] https://uk.mathworks.com