23 phd-mathematical-modelling Postdoctoral positions at Pennsylvania State University
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. Candidates must have a PhD in MatSE and experience in developing phase-field models of microstructures and properties by start date. This term position is funded for one year from the date of hire with
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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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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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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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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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: PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology. Strong background in mouse models and neurodevelopmental
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%): Generating academic outputs, such as presentations, grants, and manuscripts. 4) Related tasks (10%): Other related tasks assigned by the principal investigator. Eligibility: Candidates holding a PhD degree in
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calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed
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of mammalian brains using mice as an animal model. Three main lines of research include 1) the brain-wide mapping of brain cell types including GABAergic neurons, glia, and cerebrovascular network, 2) anatomical
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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