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Field
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or equivalent. Knowledge and experience with analytical techniques such as XRD and SEM. Skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector
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loading conditions. • Develop and validate computational models (FEA/FSI) of cardiac valves. • Integrate experimental data with simulation results to evaluate stress and strain
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invertebrates. Phylogenomics: Building phylogenetic tools to integrating chromosome structural and sequence information at tree-of-life scale. Depending on project fit and candidate expertise, research may
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relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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to assess evolving risks in coastal-urban regions. Other key responsibilities include: Mesh design and high-resolution data utilization. Develop and refine high-resolution barotropic ocean meshes along U.S
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the experiment. This task includes data taking, analysis, and interpretation of data based on theory and simulations. ● Mentor graduate and undergraduate students in the research group. ● Present results