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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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devices that can operate in confined anatomical environments and interact with biological tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices
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our new colleague? We are looking for a PhD candidate to build a macroeconomic model that links long‑term strategies for flood risk management to the behaviour of the financial sector and the broader
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? As a PhD candidate, you will develop an integrated modelling framework to analyze the Water-Energy-Food (WEF) nexus in Controlled Environment Agriculture (CEA), including greenhouse and vertical
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innovation science, system dynamics, spatial modeling, and ecology. The specific focus of this PhD project is biodiversity monitoring and biological pest control as an ecosystem service. You will study how
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experience in experimental research using virtual reality? If so, we have an exciting PhD opportunity for you! Spatial thinking plays a crucial role in understanding and communicating environmental issues
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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exhibits strong spatial and temporal nonlocality. This PhD project aims to address these limitations by developing a novel theoretical framework based on the exact electron factorization. In this approach