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impact of the proposed research that explains how the proposed project will change or influence behavior, practice, procedures, or policy at the relevant scale. A co-creation model of engagement with
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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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machine learning model development; Experience designing research projects and managing project delivery; Experience processing, documenting, and analyzing data sets; Ability to excel in a highly
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of binary and ternary CSAFs using tools developed at CMU. These CSAF samples will be used by our collaborators at UPPA conducting experiments in which model microbes are adsorbed onto the CSAF surfaces and
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including in vivo and in vitro modeling, targeted and untargeted metabolomics, and stable isotope tracing to explore the role of mitochondrial transporters and enzyme systems in health and disease. Position
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling
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Type: Hybrid Eligible Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Spatial Information Science and Systems
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simulation models of existing test structure geometries to enable simulation and optimization for specific PIC platforms Investigate methods to optimize test structure designs for more robust determination of
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Job Posting Title: Postdoctoral Fellow in Aqueous Geochemical Modelling ---- Hiring Department: Bureau of Economic Geology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40