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be used to build process models describing the performance and impact of degradation. The overall aim is to increase our understanding of how to design cost-effective CO2 capture plants through a
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Medicine Secondments: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn
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leader is the supervising Professor, and your Line Manager is Head of Department. Duties of the position To develop methodology for risk assessment and modeling providing early warnings on the risk level
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security Semantic modelling of industrial artefacts, knowledge representation and automated reasoning Your supervisor will be Associate Professor Anna Olsen . Your immediate leader will be the Head of
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leader is the supervising Professor, and your Line Manager is Head of Department. Duties of the position To develop methodology for risk assessment and modeling providing early warnings on the risk level
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the physiological relevance of these novel death mediators using in vivo mouse models. The position has a duration of two years. The project group is part of a vibrant and inclusive research environment (https
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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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and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge
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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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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