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groundwater flow models. Current groundwater flow models often exhibit important uncertainties related to input parameters and boundary conditions. Reducing this uncertainty is difficult if these models
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modelling, learning-based reconstruction and classification algorithms, enabling joint optimisation of optics and data processing. We are looking for an excellent PhD candidate in photonics (48-month duration
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research combines epidemiological modelling, proxy-data fitting, and reinforcement learning for public-health decision support. As the Computer Science PhD researcher, you will lead the research on novel
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the preparation of a doctorate, contains: Hydrogeologists use numerical groundwater flow models for predicting impacts of climate change and pumping on groundwater and understanding and quantifying groundwater
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risk modelling framework that integrates environmental exposures, socioeconomic context, and health data to understand, predict and prevent cardiovascular, neurovascular and other non-communicable
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health, impact attribution, climate change, earth system modelling, environmental epidemiology, doctoral networks. Climate change poses growing risks to child health, particularly in Sub-Saharan Africa
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research threads in Computer Vision and Machine Learning : Improving and creating state-of-the-art foundation models to be able to enhance both performance and computational efficiency; Design world models
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The research groups of Prof. Anneleen Malfliet (Pain in Motion, PAIN, Vrije Universiteit Brussel), Prof. Doris Vandeputte (AI supported modelling in Clinical Sciences, AIMS, Vrije Universiteit
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algorithms that can tightly integrate physical hardware, sensors, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining
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internationally recognized researchers is widely known for its work in fundamental and applied photonics research covering the entire research cycle from modelling and fabrication, to characterization and Proof