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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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in animal models. A Ph.D. in Pharmacology, Biochemistry, Molecular Biology, Cell Biology or Physiology, and knowledge and experience with molecular methods is required. Experience in cardiovascular
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extracellular histone, a damage-associated molecular pattern that is implicated in adverse outcomes after injury. This project will include using a range of clinically relevant models as well as in vitro
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-tier conferences. Demonstrated expertise in large language models (LLMs) and their application to AI security, autonomous system reasoning, software vulnerability detection, and robust agentic AI design
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in vascular biology and cardiovascular physiology. The fellow will lead and contribute to translational research projects focused on cardiovascular assessments in small animal models, particularly in
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and cancer. Ultimately, we aim to mitigate the pathogenesis and develop treatments for chronic metabolic diseases. We have established unique, comprehensive mouse models for: 1) real-time labeling and
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models to predict TCR-peptide/MHC (pMHC) interactions. Utilizing structural computational biology techniques to characterize and model TCR-pMHC interactions. Designing experiments to test and validate
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time series modelling, age-period-cohort modelling and structural equation modelling. Whilst applicants need not to be familiar with ALL of these, they ought to be familiar with ONE (and to state in
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students, visiting scholars and researchers Conduct modelling, simulation and experimental research on mechanics of soft robotics Explore applications in the fields of transportation and search and rescue
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regression models using Stata or R. Collecting, managing, and structuring quantitative datasets Conceptualization of suitable empirical methodologies and models Statistical analyses of complex datasets and