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Field
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.Develop ML models to predict the occurrence or frequency of interactions between pollinators and plant species. 4.Co-design a user-friendly software interface with input from researchers, conservation
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Archipelago, integrating it into the global e-CALLISTO network. The project will deploy new-generation spectrometers and antennas to fill the observational gap over the North Atlantic, enhancing global space
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tool that allows developers to quickly find and fix software errors including security vulnerabilities. You will innovate the Find2Fix pipeline by making the different steps, including found issues and
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transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures such as neural operators and transformers. The expected start
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and fundamental areas. The candidate will develop transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures
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by the European Union with the aim to develop a fundamentally new approach to real estate valuation, allowing the sector to rapidly transition towards a more sustainable, low carbon and circular future
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About us Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Department of Global Health and Social Medicine at King’s College London in collaboration with Black
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scientists and development economists. Our main research aims are to design and evaluate strategies to improve the quality and use of preventive health care services in low- and middle-income countries. We
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of vulnerabilities in modern computing systems. We develop principled concepts and mechanisms to ensure robust security and privacy for software. The PhD student will be supervised by Prof. Andrei Sabelfeld
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, network intelligence, and real-time measurements. Impact: Enable a sustainable, intelligent Internet fabric that seamlessly supports 6G, distributed AI, and future global connectivity. Job description The