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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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students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic
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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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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine
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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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the opportunity to work with faculty and students from physics, mathematics, and/or computer science. We are particularly interested in candidates with expertise in open quantum systems and at least one
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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
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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