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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State
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on developing phase-field models for modeling the templated grain growth and piezoelectricity of ferroelectric piezoelectric crystals and work with other experimental groups in the to be funded ONR MURI project
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—biochemistry, biophysics, omics, and transgenic mouse models—to deepen our understanding of calcium signaling under both physiological and pathological conditions, including fibrosis and cancer progression. Our
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reporting. Candidates must have a PhD in MatSE and experience in mechanics of materials, computational modeling, and experimental characterization of materials. Candidates should submit a CV and cover letter
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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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models for fracture propagation, reactive transport, and reservoir-scale hydrogen yield prediction. Design and implement data acquisition systems and sensor integration for experimental campaigns. Prepare
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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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across various developmental stages in knockout mouse models. Apply high-throughput molecular and cellular techniques to assess gene expression, spatial organization, and cellular diversity in