76 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" research jobs at Pennsylvania State University in United States
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four academic years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a
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SPECIFICS Penn State's interdisciplinary Center for Theory of Emergent Quantum Matter (C-TEQ), within the Institute for Computational and Data Sciences (ICDS) Quantum Hub, invites applications for several "C
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an application through Mathjobs.org (https://www.mathjobs.org/ ) with the following materials for the application to be complete: Cover letter Curriculum Vitae Teaching Statement Research Statement Publications
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plant pathogens in organic production systems through a multi-institutional USDA/OREI funded project. The Postdoctoral Scholar will conduct or coordinate research computational analysis and pattern
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of reference to be uploaded to https://exoplanets.psu.edu/upload-letters/ . Questions regarding the application process can be directed to astro-jobs@psu.edu. Please reference the job number in the email subject
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SPECIFICS Postdoctoral Scholar Opportunity Grain Crop Production Laboratory - Department of Plant Science - Penn State University https://plantscience.psu.edu/research/labs/grain-production-lab Position
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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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of, or practical experience with, program evaluation. Preference will also be considered for candidates with experience and/or training in using predictive analytics and machine learning techniques
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to provide evidence that all requirements have been met for completion of the Ph.D. prior to the effective date of hire. Candidates are encouraged to apply online at https://hr.psu.edu/careers . Candidates
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data