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information (e.g. 3D building models), enabling safe autonomous navigation in complex urban environments. The algorithms will be validated using realistic simulations and experimental measurements obtained from
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related policy/business discipline. Have familiarity with empirical research methods, experimental design, or technical modelling relevant to your field. Having a demonstrated publication record or
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Risk-Relevant Biomarkers of Release Events) and one each for risk assessment (PhD-3 Quantitative Risk Assessment of Biofilm-Derived Hazards) and management (PhD-4 Predictive Modelling and Mitigation
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of collision mortality internationally, due to the difficulty in recording such collision events offshore. Also, existing collision risk models are simplistic in nature and heavily rely on accurate knowledge
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model will be fed by existing empirical data on bird flight behavioural responses to wind turbines from various bird radar studies. This model will allow simulation of birds flying within the turbulent
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. This PhD aims to address research questions such as how can AI and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase
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modeling. The knowledge generated in the project will form the basis for new methods and tools to better analyze household energy behaviors. Particular focus is placed on identifying barriers and variations
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are we looking for We are looking for candidates with a background in set theory and/or logic, preferably including either modal logic, forcing, or inner model theory. The candidate shall have a Master's
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infrastructure. The research will combine advanced finite element simulations, blast loading models and fluid–structure interaction analyses to establish methods for assessing the protective capacity of existing
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method