66 modelling-complexity-geocomputation Postdoctoral positions at Pennsylvania State University
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, the major responsibility of the research associate is to carry out the research tasks in the project, which include literature survey, data collection, flume experiments, computational modeling, result
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used in next-generation Earth System Models (ESMs). In addition to UXarray-focused responsibilities, the postdoc will contribute to active research in global atmospheric modeling and weather and climate
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modeling, computational modeling, quantitative biology, dynamical systems, stochastic processes, complex systems, or related quantitative approaches. Candidates should have experience developing
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University (ncems.psu.edu ) seeks an outstanding scientist to fill a Postdoctoral Scholar position in Physics, Statistical Mechanics, and Quantitative Modeling housed within the Huck Institutes of Life
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cells for vehicle electrification, renewable energy storage, and power grids The group is known for cross-fertilization of electrochemistry, materials, manufacturing, diagnostics, CFD modeling, and system
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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. The postdoctoral fellow
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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) Investigate the role of key transcription factors in regulating hematopoiesis in conditional knockout and knockin mouse models. Candidates should have obtained a PhD or an MD/PhD degree and research training in
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, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be employed in the study. Successful applicants will be a highly motivated individual with a recent
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Medical Center, Hershey, PA. The job consists of laboratory work using complex genetic mouse models and primary cell culture systems to understand the pathophysiology of osteoarthritis disease development