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multiscale and multiphysics modeling for thermomechanical effects on high performance heat spreaders based on materials such as diamond thin films. Collaborate with experimental groups on characterization
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of the promotoras model of leadership. • Fluent communication in both English and Spanish. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions
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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
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models, for architectural propositions addressing an area of interest to the fellow and of concern to the field at large. Project Projects centered on the development and realization of a significant
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assimilation, and machine learning frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well
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underlying aortic aneurysm and valve disease. Utilizing a variety of approaches including stem cell biology, gene editing, bioengineered human vascular grafts and animal model studies, we aim to gain
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well as in a collaborative, team-oriented environment. Preferred Qualifications: Prior experience working with mouse models of cancer is strongly preferred; candidates without prior experience will be
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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system near 1.9 microns. In both projects, the successful applicant will be responsible for synthesizing modeling and experimental data analysis and drafting high-quality manuscripts for publication
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Position Details Position Information Internal Posting? Posting Number SP004832P Position Title Postdoctoral Fellow, Energy-Water Systems Characterization and Modeling Division/College University