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models that represent and reason about complex biological systems, enabling predictions and interventions that can alter system behaviour in desired ways. For example, why do cells respond differently
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automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability challenges in agentic reasoning systems. Where to apply Website https://www.findaphd.com/phds
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trustworthiness assessment of data paths in intelligent networks. Prior knowledge, skills, or interest in the areas of intelligent networks, digital identity, authorization, trust management will be useful
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candidates may only undertake their study full-time, and deferrals are not permitted); and Be resident within the UK for the duration of their studies and live within a reasonable distance of the host
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be reasonably expected to perform. Knowledge, Qualifications, Skills and Experience Knowledge and Qualifications Essential A1. Scottish Credit and Qualification Framework level 10 or equivalent
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the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as
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knowledge gaps by combining novel observations of individual fires globally (5) and climate datasets with machine learning to predict megafire occurrence. The successful candidate will contribute to a ground
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and share knowledge of endangered archaeological sites across eleven African countries using a combination of remote sensing, historical map analysis, records-based research supported by ground
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to explore bumblebee behaviour, navigation and landscape-use to better understand insect cognition. The overall grant covers microbattery development; antenna design; field experiments and cognitive modelling
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Trinity Laban Conservatoire of Music and Dance | London, England | United Kingdom | about 2 months ago
Introduction Trinity Laban is accepting applications for a new PhD fund in partnership with the Satyam Kalon Programme. The Programme is a ground-breaking collaboration between academics, artists