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inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will
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into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility of the PhD position advertised here will mainly involve
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experiments that will reveal the physical mechanisms of transport and burial of microplastics and POC in turbidity currents down submarine canyons; incorporate these mechanisms into an existing computer model
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adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated
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develop an AI-enhanced Human-Machine Interface (HMI) that enables a more intuitive and adaptive use of the system in home settings. The goal is to create a supportive solution that can adapt to changing
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geochemistry, planetary science, archaeology, environmental science, and forensic research. The NIGEL facility (https://nigel.amsterdam/ ) headed by the MAGMAS PI is unique in the Netherlands with 2 TIMS, 2 MC
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are you going to do? In this research, we focus on improving accessibility for people who don't own a car or can't drive by investigating innovative solutions and interventions based on specific cases
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standard techniques cannot be readily applied at cryogenic temperatures, thus requiring innovations in terms of sensing elements, readout circuitry, and power efficiency. You will then investigate new
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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds
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-drone system and to the development of a physics-aware digital twin for aerial robotic construction. This digital twin will integrate robot dynamics, aerodynamics, contact interactions, component geometry