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Field
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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, Mesoscopic Physics/Nanoscience , Metrology , MOTRIMS , Multi-messenger Astronomy , Nano- and Optomechanis , Nanomechanics , Nanoscience , Nanotechnology , Network , Networks , Neutrino Astronomy , Neutrino
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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) modules into safety-critical embedded systems (autonomous vehicles, drones, industrial and medical devices) raises major safety and security concerns. These modules, often based on deep neural networks
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data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and projects for national and international
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Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of mathematical phylogenetics. Phylogenetic networks are directed acyclic graphs
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materials in the area of acoustic sensor and actuator technology Collaboration in an interdisciplinary research team with external and internal partners Your qualifications: A university degree (master's or
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weeks to months. You will build robust data pipelines and analytics workflows for large-scale chronobiological datasets. You will engage also with a wide network of stakeholders, and explore new avenues
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experimental data from IoT sensor networks and near real-time simulations. Conduct sensitivity analysis under varying operational conditions, including environmental factors such as temperature and load
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unsuitable, while the utility and performance of others remains an open question. The aim of the PhD is to derive synchronisation techniques suitable for deployment into a maritime radar sensor network