31 data-visualization-analysis-"https:" Postdoctoral positions at Carnegie Mellon University
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of alloys in extreme environments such as jet engines. Core Responsibilities: Conduct CALPHAD-based simulations in a high performance computing (HPC) environment Perform data analysis and visualization
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the EMsoft00 package and related similar software Perform data analysis and visualization Train and supervise masters and doctoral students Coordinate research with external collaborators Report and present
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. Strong expertise in energy systems modeling, particularly optimization-based approaches, and demonstrated experience with scientific programming and data analysis using tools such as Python, Pyomo, Pandas
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. Strong expertise in energy systems modeling, particularly optimization-based approaches, and demonstrated experience with scientific programming and data analysis using tools such as Python, Pyomo, Pandas
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its calibration via simulation and observational data analysis. The project has industry partners and will offer opportunities to work with public and private data sets. We are looking for someone with
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-documented software workflows for reaction data generation, curation, featurization, and model deployment. Collaborating with experimental groups at CMU and external partners to convert mechanistic hypotheses
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or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required
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lines. Work with device and systems teams to translate biological performance requirements into testable engineering specifications. Prepare SOPs, study plans, data-analysis pipelines, technical reports
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specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and
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field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing