47 modelling-complexity-geocomputation PhD positions at Delft University of Technology (TU Delft) in Netherlands
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. However, while the leaky integrate-and-fire (LIF) neuron is the current de-facto neuron model in neuromorphic hardware, it embeds only one single time constant limited to a few tens of milliseconds
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experimental data, enabling accurate prediction of nonlinear phenomena such as modal interactions and dissipation pathways across scales: from complex structural assemblies to nanomechanical resonators. In
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the performance of various technical components of the heating systems in different climatic conditions. To address this complexity, a team of geological and technology experts work together to build a framework on
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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for levitated systems — from gas sensing to probing physics beyond the Standard Model. You will join a diverse, motivated, and supportive team of academic staff and students in Delft. We foster an inspiring and
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exploration is complex and still not well understood. EXPLORA aims to uncover links between perceptual impacts and active exploration systematically, quantitatively, and empirically. We will create impact
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the experimental setup, analyze data, and gain experience in modeling, coding, and running complex equipment in our state-of-the-art laboratories. You will also receive comprehensive training to support your
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/ML) models can offer a solution here. This project aims to determine to what extent AI/ML models based on electrochemical sensor data are able to identify and quantify local forms of corrosion. We
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, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
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toolchain comprising a statistical description of the wind resource and physics-based models of the AWE system will be combined with a cost model of the farm. Is it better to scale up the individual systems