36 combustion-modelling-postdoc Postdoctoral positions at Pennsylvania State University
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dynamic molecule clusters during gene expression to study the formation and function of these assemblies in gene regulation. We want to recruit postdoc who is familiar with any of the following topics
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mentorship and growth of postdocs. The selected candidate will join a highly collaborative team of faculty and researchers within CEE’s Materials Innovation Studio, the Civil Infrastructure Testing and
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Physics at The Pennsylvania State University is seeking to fill one postdoctoral position under the direction of Dr. Jun Zhu. The postdoc
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, and will be making use of Penn State high-performance computing resources. He will be encouraged to interact with other students, postdocs, and faculty within the Department of Physics and related units
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compositions of methyl groups in the Lloyd Lab in the Geosciences Department at Penn State. The postdoc will contribute to a funded, collaborative project from NASA Exobiology on the isotopic fingerprints
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. We value inclusion as a core strength and an essential element of our public service mission. Benefits for postdocs can be found on this link: https://hr.psu.edu/current-employee/benefits/post-doc
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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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thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission. Benefits for postdocs can be found on this link: https://hr.psu.edu
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looking to hire postdoc scholars. We are seeking candidates with enthusiasm for active participation in open quantum systems projects that transcend disciplinary boundaries. Successful applicants will have
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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