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progressed capabilities towards exploiting zero-day vulnerabilities. Frontier models show promising performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases
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, and adapt to human interaction. This requires rethinking both what we measure and how we design models. The PhD candidate will: Create datasets and benchmarks that capture emotional cues, conversational
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boundaries and set a course for the future – a future that you can help to shape. Within the Faculty of Science, the IDLab research group is looking for a motivated and talented full-time doctoral scholarship
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The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). We seek a candidate with expertise
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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No Description/content The Regenerative Sciences PhD programme (PhD RegSci) at the MHH (Hannover Medical School) focuses on novel regenerative agents and biomaterials as well as cell transplants
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, immunology, epidemiology, population genetics and mathematical modelling and involve both laboratory-based projects and fieldwork. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time
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Methods 21, 1063–1073 (2024). https://doi.org/10.1038/s41592-024-02277-8 Docherty, Robert Julian (2019) Improving peripheral nerve regeneration: a multimodal approach. PhD thesis, University of Glasgow
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this website but submit the Expression of Interest via the Monash Data Futures Institute Application Link: https://www.monash.edu/data-futures-institute/study/phd-scholarship/mobility-data-driven-planning