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Field
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institutes throughout UNSW Medicine. Details of the role The Post Doctoral Fellow will be expected to carry out independent work on modelling the health impact of vaccine strategies for endemic respiratory
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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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synthetic data generation, simulation platforms (e.g., Unreal Engine, Omniverse), or virtual/augmented reality Knowledge of scientific domains such as engineering systems, physics-based modeling, or quantum
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and numerical algorithms for modeling and simulation of nuclear systems. Computational Nuclear Engineers within the RTHPCM group will work with group, section, and division members and external
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picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
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scaled models in wind tunnels. Its main advantage lies in the ability to measure wall pressure fluctuations in hard-to-access regions, such as thin profiles, the blades of a flow-straightening stator, the
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of reports, dissertations and end-of-study papers. Skills Expertise in the following fields: Chemical and process engineering. Modeling (first-principles and data-driven models), simulation and optimization
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and
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: Building conceptual causal loop diagrams (CLDs) to represent farm-level feedback structures. Developing and calibrating a quantitative system dynamics (SD) model to simulate alternative dairy management