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experimental, modeling, and analysis tasks to evaluate the utility of laser welding models for development, transfer, and process monitoring, and control. The successful candidate will provide materials
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peer-reviewed journals Hands-on experience with mammalian cell culture, rodent models, and standard molecular/cell biology techniques (e.g., Western blot, PCR, transfection, construct design, shRNA
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policymakers. This exciting opportunity would support an embedded policy fellowship placement to train a Postdoctoral Scholar in the implementation and evaluation of research translation models, such as the
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expected to communicate across teams to integrate project-specific data into modeling. The post-doc will lead projects, collaborate with graduate students and researchers from inside and outside Penn State
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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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) 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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must be ready to conduct research involving the design of novel behavioral interventions, conduct human studies, and build computational models to implement existing behavioral paradigms such as Just In
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: Prior background in studying bio-molecular condensates using a combination of biochemistry, fluorescence and quantitative modeling methods is highly desired. Prior backgrounds in single-molecule imaging
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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