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Field
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develop and analyze a hierarchy of numerical modeling simulations to advance process-level understanding towards the goal of formalizing and quantifying the contribution of the land surface – and its
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of multiphysics solutions to complex problems in porous materials. Candidates with a background in experimental and/or numerical multiphysics modeling of porous media, applicable to both terrestrial and
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Proficiency in running numerical coastal ocean models Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran, C/C++, or Python
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Mathematics, IMS, and SCGP) Location: Stony Brook University Open Date: Sep 16, 2024 Deadline: Nov 15, 2024 at 11:59 PM Eastern Time Description Stony Brook University has numerous mathematical postdoctoral
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power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
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interpret experimental data. Perform theoretical calculations and numerical simulations related with the experiments. ·Disseminate research results in the form of peer-reviewed publications, conferences, and
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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interactions. Orbit dynamics evolve over a longer timescale compared to the rapid dynamics of attitude and GNC systems. Simulating these subsystems together requires sophisticated numerical methods to maintain
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network systems. • Improve, develop, and use first-principles numerical modeling tools of heat and mass exchangers and other thermal components and systems for building envelopes and HVAC systems such as
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, reliability, and stochastic simulation concepts with experience in wildfire modeling and loss assessment and regional planning of rural communities. The individual will contribute to the development of solution