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, the postdoc will use the DisPerSE code to apply to Sunyaev–Zeldovich signal maps and X-ray emission maps produced within The Three Hundred hydrodynamical simulation. They will investigate the impact of
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documents Proof of research experience Copy of identity document and medical certificate Criminal record certificate or sworn declaration Motivation letter outlining the proposed research within the project
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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in the project deploying recently developed water infrastructure simulation tools, including EPANET, EPA WNTR, and EPA SWMM, to assess community resilience using the community capitals framework. In
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the interaction between wind farms and the atmospheric boundary layer using a combination of wind-tunnel experiments, field measurements, and advanced numerical simulations. The ultimate goal is to gain fundamental
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in engineering or a field related to the project; • Knowledge and proven expertise in computational optimization methods and discrete-event simulation, with experience in regular service design
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Biology Stanford Cancer Center Postdoc Appointment Term: Open-ended. Appointment Start Date: ASAP Group or Departmental Website: https://rogala.stanford.edu/ (link is external) How to Submit Application
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Posting Summary Logo Posting Number RTF00039PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post-Doctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
contribute to the development of the proposed estimators and conduct a wide array of simulation experiments in support of grant aims. Moreover, they will prepare scientific manuscripts describing and
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dynamics in complex, large-scale project systems develop formal, computational, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject