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; Industry 4.0 and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts
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– and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy
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with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
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Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge representation and automated reasoning Your supervisor will be Associate Professor Andrei Lobov . Your
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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modelling. ClampIT builds on the experience from the DynaLoad project and brings together a strong consortium covering the entire transformer value chain, including: Sensor and material suppliers: COMEM
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of the research project are (i) Identify different climatic areas relevant to the study and characterize weather conditions to be used as boundary and initial conditions in modelling; (ii) Develop thermo-hydro
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in high-impact factor SCI journals Extensive material characterization experience (XRD, SEM, FTIR, Mercury Intrusion Porosimetry (MIP)) Experience with numerical modelling (e.g., COMSOL/ANSYS
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value chains while reducing environmental impacts and resource dependency. The transition from traditional linear production models to more circular and adaptable systems is crucial for achieving national
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areas such as competitive strategy and business models, international strategy, corporate structures and governance, entrepreneurship, innovation, knowledge-based strategy and strategic leadership and