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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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information about the department: Department of Applied Animal Science and Welfare As a PhD student, you will be in a creative and stimulating environment with the opportunity to network with both the business
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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Research Infrastructure? No Offer Description MetaTune is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program, starting in March 2026. The Network
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net radiation, and because snowmelt and evapotranspiration (ET) of meltwater are sinks for latent heat. Growing season water inputs in these environments originate from both rain and meltwater, but
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releases, and greenhouse gas flux estimation. Current approaches struggle to assimilate data from heterogeneous sensor networks, are too computationally demanding for real-time deployment, and lack reliable
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teaching in key and rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is
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: Home or Home and Overseas (Overseas to cover themselves the difference in fees) Duration *: 3.5 years 1st Supervisor: Dr Carol Verheecke-Vaessen 2nd Supervisor: Dr Jerry Luo This fully funded PhD
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
extracting mesh representations of shape and pose from image data by leveraging existing methods and/or developing novel approaches, as part of the larger goal of bringing our model(s) into active adoption
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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage