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an interdisciplinary program that brings together Warwick Medical School and partners from the School of Engineering and Industry, combining machine learning and computational modelling to solve a
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climate and hydrometeorological modeling, urban biometeorology, and climate-sensitive urban design? Do you want to pursue a PhD study that translates advanced urban (bio)climate and hydrometeorology
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14 Jul 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Modelling tools Computer science » Programming Environmental science » Earth
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Are you a highly motivated researcher passionate about urban climate and hydrometeorological modeling, urban biometeorology, and climate-sensitive urban design? Do you want to pursue a PhD study
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, Foundation Models & Medical AI Location Munich, Germany For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and
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day one, indepenent thinking is encouraged, and you will get all the support you need to further develop your scientific career. PhD Position 1 - Hybrid Traffic Flow Modelling This PhD focuses
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Institute for Environmental Studies (IVM) Established in 1971, IVM is a leading environmental research institute that is internationally recognised for its high-quality research output in a range of environmental disciplines, as well as for its interdisciplinary work. The mission of the...
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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Position 1 - Hybrid Traffic Flow Modelling This PhD focuses on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic