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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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addresses one of the most pressing challenges facing contemporary port ecosystems: how ports can develop new strategic roles in support of the green transition. The project will explore how ports move beyond
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observational data, climate model output and regional ocean modelling. Develop and apply a high-resolution hydrodynamic CROCO model, linking model output to the FlexSem model for modelling carbon transport
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Professor Aldo Faisal from Imperial College London involved as international project partner. Research objectives and tasks You will contribute to the development and empirical validation of models
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’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy in
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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individuals differ in their susceptibility to dysglycemia, type 2 diabetes, and related complications. A central goal of the group is to move beyond traditional disease classifications and develop a mechanistic
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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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Initiative for Vaccines and Immunity (NIVI), launched in December 2023, has a unique mission to harness airway immunity through innovative vaccine research and development to prevent airborne epidemics. NIVI