131 data-visualization-analysis "https:" research jobs at Pennsylvania State University
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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 . JOB DESCRIPTION AND POSITION
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or experience in the following areas. An interest in climate science, environmental studies, data science, or related fields. The student should be curious and ready to learn more about risk analysis! Prior
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and Applications (CCMA). Successful candidates will engage in research in all or any of the areas of scientific computing, data science, and quantum information science. Appointed candidates will
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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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Liberatory Tech Project Work on archival and data processes that will be used for developing new human-AI systems related to digital archives Conduct analysis of digital archive meta-data Work on data entry
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. Additional Information Applicants must complete the Penn State application and must submit an application through https://www.mathjobs.org/jobs/list/28088 ">Mathjobs.org (mathjobs.org) with the following
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Ph.D. and have exceptional research potential. Teaching may be required. Qualified candidates are expected to have a background in scientific machine learning, numerical analysis, and dynamical systems
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-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
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analysis; natural gas measurement and production analysis using SCADA information; assessment of energy and mineral resources; petroleum and natural gas engineering research of interest of the student and
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Qualifications (Not Required) Python proficiency (e.g., pandas/polars; data cleaning; visualization). Experience with databases (SQL), APIs, Git/GitHub, or cloud platforms. Interest in responsible/ethical AI