25 modelling-complexity-geocomputation Postdoctoral positions at Pennsylvania State University
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models in mice. Experience managing and integrating multi-scale datasets, with knowledge of consortium-based data-sharing protocols and practices. Strong analytical skills for interpreting complex datasets
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multidisciplinary research laboratory at the Millenium Science Complex, which is part of Huck Institute of Life Sciences. There are excellent opportunities to interact and collaborate with other researchers in
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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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modeling, life-cycle assessment and/or techno-economic analysis of agricultural, forestry, and bioconversion systems at The Pennsylvania State University. The Postdoctoral Scholar will work in the
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department
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application of advanced AI models to AV systems. Minimum Qualifications Candidates must meet the following requirements: A Ph.D. in a relevant field such as Artificial Intelligence, Automated Vehicles, Control
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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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evidence to 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
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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