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challenges at the intersection of AI and cybersecurity, aiming to enhance model integrity, data privacy, and resilience to adversarial attacks. The research will explore methods to secure AI systems in real
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. Statistical modelling, informed by a set of national data resources, will be required to characterise the underlying processes. The simulation model will then subsequently be deployed to provide economic
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2nd November 2025 Languages English English English We have a vacancy for a PhD position within Energy System modelling, market design and sector coupling Apply for this job See advertisement
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account for correlations, competing risks, and pleiotropic effects. Developing data domain-specific multi-cancer risk prediction models. Integrating individual multifactorial cancer models into robust
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3 Oct 2025 Job Information Organisation/Company Universidad de Alcalá Department Signal Processing and Communications Research Field Computer science » Modelling tools Researcher Profile First Stage
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Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Hold a PhD in
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physics phenomena. The PhD candidate will take advantage of the new ATLAS data to undertake novel measurements of the fundamental interactions and parameters of the Standard Model (SM) that underpin our
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data. This PhD project will address these challenges using multi-site and multi-scale datasets (experimental sites, workshops, and national soil monitoring networks), as well as recent standards
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challenges at the intersection of AI and cybersecurity, aiming to enhance model integrity, data privacy, and resilience to adversarial attacks. The research will explore methods to secure AI systems in real
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-building postgraduate conference with participation from across the pathway. Options for specialist training include GIS and spatial data analysis, advanced quantitative research in SPSS, transport modelling