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–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods and software will be general-purpose, a special
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aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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Analysis of vulnerabilities in low-resource language settings, and the effect of typological diversity on the security landscape in multilingual settings Formal semantic or symbolic methods for monitoring
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First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 20 Jan 2026 - 12:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer
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settings Formal semantic or symbolic methods for monitoring, evaluating, and improving LLM robustness. The positions are embedded in an active and rapidly growing research environment, including ongoing
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to long-listed candidates, inviting them to make a formal application to the PhD Studentship. Contact: For questions about the project: Dr Chris Cantwell For queries regarding the application process, email
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efficiency, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco
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, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco-innovation, through
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, current methods are either static, rely on heavy offline training, or fail to adapt to changing environments. This PhD project will develop intelligent software agents capable of autonomously optimizing