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/network/circuit patterns Perform characterization of structures using atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new
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resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with academic and industry partners
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emerging threats and system resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with
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: PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong expertise in machine learning for materials science (e.g., generative models, neural networks, active learning
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studying how the brain encodes long term memories . Using a range of molecular and cellular techniques, we elucidate how stimulated cells, at the level of a single cell and also as part of a larger network
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, supported by access to rich datasets, computing resources, and collaborative networks. The position offers opportunities to contribute to impactful projects, mentor students, and develop research portfolios
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in Health Research Methods, Epidemiology, Computer Science, or a related field. Expertise in evidence synthesis and clinical guideline methodology such as network meta-analysis, GRADE. Experience with
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implement novel control strategies for networked cyber-physical systems. Publish research findings in high-impact journals and present at leading conferences. Prepare report and contribute to the preparation
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networking activities. The successful candidate should: Possess a PhD in international political economy, international relations, political science, or related disciplines; or those with relevant working
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at all levels, ability to work collaboratively in a fast-paced environment Possesses international experience, with a strong network of contacts in the region We regret to inform that only shortlisted