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with collaborative research methods, contributing to the lab’s graph-based notetaking and knowledge base. • Explore innovative research dissemination methods, including micropublishing, iterative
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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diversity of methods and data available to the discipline. We are further developing our core undergraduate programmes and will be recruiting world leading staff accordingly to ensure these programmes
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policies pertaining to other schools at Duke University. The postdoc candidate is expected to: 1) Develop novel methods for incorporating scientific machine learning in solving problems in solid mechanics
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focused on developing and applying methods for estimating the causal treatment effects on health outcomes using large health data. The Mission of the P-HOPER Center is to conduct innovative population
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. The TQM Unit carries research in the broad area of condensed matter theory and statistical physics, making use of both numerical and analytic techniques. Postdocs in the Unit have the opportunity
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hydrogen transport properties. Collaborate on neutron scattering experiments (e.g., at national labs) to investigate fluid–mineral interactions and pore structure evolution. Develop and calibrate numerical
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, genomic datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding
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includes the prefrontal cortex with a focus on selection between stimuli of different value and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling