52 phd-mathematical-modelling Postdoctoral positions at Pennsylvania State University
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methyl shuffling leaves a discernible isotopic imprint, regardless of the source. Qualifications and Requirements: A PhD in stable isotope geochemistry, organic geochemistry, or microbial biogeochemistry
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to the researcher’s career goals. Applicants must have a PhD in rural sociology, sociology, geography, or a related field, with experience in mixed-methods social science research in rural settings, including
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for Multimessenger Astrophysics , which includes members of several experiments, such as LIGO, the IceCube Neutrino Observatory, and the HAWC TeV gamma-ray detector. Education and Experience A PhD in Physics
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molecular biology techniques, 2D and 3D cell culture models (hydrogels), imaging techniques (TEM, SEM, confocal), protein analysis (immunohistochemistry/immunofluorescence), and handling of rodents. Specific
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or disease modeling in R and/or Python statistics data analysis communication (written and verbal) This does not mean you need expertise in these areas but rather that you have some base knowledge upon which
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experimental, modeling, and analytical characterization and analysis tasks to evaluate the utility of various materials exposed to extreme environments. The successful candidate will provide materials synthesis
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End Date: June 30, 2025 Expected Start Date: August 1, 2025 preferred but negotiable. Eligibility: PhD prepared Nurses (or related field) within two years of degree completion preferred. Demonstrated
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) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data
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journals and present at academic and professional conferences. Mentor graduate and undergraduate students, including guiding PhD students in their research. Collaborate with faculty and other researchers in
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IAQ. Designing and conducting energy, IAQ, and economic simulations of novel control systems. Aggregating, synthesizing, and interpreting HVAC system data from field sites. Developing data-driven models