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developing the first observation-driven, AI-ready global river data infrastructure. Reporting to Professor Louise Slater, you will lead research combining large-scale Earth observation data, global hydrography
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. As a PhD candidate, your goal is to develop new methods for assessing climate risk due to consecutive droughts and at different scales in Europe. Based on these risk assessments, the PhD will develop
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3.5-year D.Phil. studentship Project: Synthetic Biology for fundamental science and application scale-up. Supervisors: Prof Harrison Steel and Prof Antonis Papachristodoulou This project will focus
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to short distances. Overcoming this limitation requires quantum repeaters, which enable long-distance entanglement distribution and are therefore essential for building large-scale, secure quantum networks
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high-frequency power conversion technologies through analytical modelling, multi-domain optimization, hardware development, and experimental validation. The research will explore the interaction between
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Looking for a PhD position to contribute to environmental justice in Brazil’s Cerrado? Join an interdisciplinary research team exploring how small-scale farmers and traditional communities can foster nature
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protective or hydrogen atmospheres Characterization of the microstructure, phase composition and surface quality of the coated layers
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multimodal systems to understand, interpret, and reason over visual and textual information jointly. Research topics may include compositional reasoning, grounded inference, multimodal chain-of-thought methods
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studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale . If you do not have letter grades from previous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
in malaria biology, molecular epidemiology, genomics, immunology, or global infectious diseases. * Experience integrating multi-omic datasets, including transcriptomics, metabolomics, lipidomics