18 modelling-complexity-geocomputation Postdoctoral positions at Pennsylvania State University
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complex statistical modeling (e.g., multilevel models) Proficient in the analysis of qualitative data Strong first-author publication record Familiarity with IRB processes as part of clinical trials
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molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Investigating innovative roles of immune cells in the homeostasis of musculoskeletal
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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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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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replication and pathogenesis mechanisms of hepatitis B virus, using a variety of technologies including biochemistry, molecular and cell biology, and animal models. The scholar will be responsible for training
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approaches. Education Requirements: The successful candidate will possess a doctoral degree with expertise in molecular biology, experience with in-vivo and in-vitro models of inflammation testing, and
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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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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