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are not restricted to classical hardware, but may have (potentially limited) access to quantum resources such as entanglement. The goal is to use this entanglement in combination with other properties
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controlling electrochemical interfaces across scales. Computational PhD position: You will develop an AI-enhanced multiscale modelling framework combining density functional theory, ab initio molecular dynamics
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the renovation, transformation, and continued use of existing buildings. The PhD project contributes to BUILD’s research on absolute environmental sustainability assessment (AESA), combining methodological
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, documents, and other evidential materials. Hyperspectral imaging combines spectroscopy and imaging to provide detailed spatial and chemical information with high resolution. In this project, you will
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project will focus on developing intelligent AI systems, language language models (LLMs), and AI-for-Science approaches that can be integrated into the GPAP platform. The project is expected to combine
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combine state-of-the-art machine learning and protein design methods with experimental structural biology and immunological characterization. Potential project directions include: • Design of vaccine
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solutions that combine low energy consumption with reliable and safe operation in compliance with relevant standards and regulatory requirements. A key scientific challenge addressed in this project is the
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for efficiency monitoring and fault detection, combining sensor data, system layout knowledge, and physical principles to extract spatial-temporal features and predict equipment behaviour; 2) Statistical anomaly
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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mechanisms such as fatigue, fracture, ultimate strength, biofouling, corrosion, etc. Assess the metocean statistics to obtain 50- and 100-year return period load combinations. Develop and document high