59 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Pennsylvania State University
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. The overall goal is to: (1) 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
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their own research program in collaboration with, and in parallel to, Prof. Zanazzi. Penn State hosts a vibrant community of scientists working on many aspects of exoplanetary astrophysics, including
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data
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. Preference will be given to candidates with advanced training in statistics or methods of causal inference and to those with research interests in corrections (institutional and community) and with a knowledge
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SPECIFICS The Cognition, Affect, and Temperament Laboratory at The Pennsylvania State University, headed by Dr. Koraly Pérez-Edgar, seeks a Postdoctoral Scholar (http://www.catlabpsu.com ). Ideal start date
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work in a highly collaborative interdisciplinary environment and will have an opportunity to validate their computational findings in an experimental laboratory. We are part of the Center for Medical
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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with research interests in courts or sentencing and with a knowledge of, or practical experience with, program evaluation. Key responsibilities of the Postdoctoral Scholar will include collaborating with
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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changing-look AGN/tidal disruption event/supernova host galaxy studies. Applicants with an interest in joint survey analysis methods, machine learning applications to survey data, and large-scale survey