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Field
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. This PhD will design methods that enable robots to achieve more robust, accurate perception and perception-driven planning for complex processes. You will investigate solutions like multi-sensing fusion (e.g
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your arrival. The EM2C laboratory is seeking a highly motivated candidate for a PhD in data-driven, physics-informed, and probabilistic modeling of turbulent combustion. The PhD work will combine
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and their components. Experience in modelling distributed energy resources, optimization and decision making, and district level energy management. Experience in data-driven modelling, AI techniques
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real-time rerouting recommendations. Beyond the PhD, the project’s data-driven models will evolve through continuous real-world updates, contributing to sustainable aviation practices and climate-aware
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modelling (including but not limited to optimization and data-driven decision making). Good programming and scientific writing skills, with the willingness to develop them further. Enthusiasm for scientific
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radial glia and oligodendrocyte precursor cell models engineered with DMG mutations, the candidate will map differentiation states and immune signalling responses under pharmacological inhibition
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engineering programs and master's programs. More information is available on our website . This PhD project focuses on the development of plasmon-driven photoelectrocatalytic platforms for proton-coupled
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Science, Engineering, Policy Analysis, Economics, Environmental Science) with demonstrated proficiency in coding and/or quantitative analysis. Interest in machine learning, computational modelling, systems thinking, and