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Architecture: Architect, build, and evaluate multi-agent systems powered by LLMs and machine learning, incorporating Orchestrator and Memory agents, vector databases, and knowledge graphs to enable complex goal
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research resources and databases A collaborative research environment with opportunities to pursue an independent agenda An exceptional base for engaging with leading scholars and institutions across Asia
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or improve databases and analytical infrastructure supporting genomic surveillance; Explore distributed data-processing technologies, including Apache Hadoop or related platforms; Build dashboards and
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Percutaneous Coronary Intervention (PCI) Experience in adjunctive intracoronary imaging techniques (IVUS & OCT) Experience in management of databases Competence with Microsoft Office and Adobe Software Ability
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Engage in online research using state government and university library databases and conduct in-person information gathering as needed. Work with team members at MDARD and STPP to collaborate on shared
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. List of publications (max. 10 pages), if applicable 4. Letter of motivation (1-2 pages) considering the following question: What applicant hope to gain from the project in Germany (personally
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phenotypes, molecular biomarkers, and treatment responses from progress notes for the WONDER project. · Engineer semantic knowledge graphs and database query architectures capturing perioperative
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of software packages such as Matlab, SIMCA, R, Chenomx, and MetaboAnalyst, as well as relevant databases. FELASA training and experience in animal experimentation, alongside experience in 2D and 3D cell culture
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developing dementia, allowing the opportunity for early intervention. To tackle this critical question, Drs. Christine Lary (Roux) and Gareth Howell (JAX) have developed a strong and interactive consortium
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time; human resources management; quality of life and well-being; b) Experience in analysing quantitative data (e.g. European databases, structural equation modelling) and qualitative data (interviews