86 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Pennsylvania State University
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the Center for Exoplanets and Habitable Worlds , the Consortium for Planetary and Exoplanetary Science and Technology , the Astrobiology Research Center , the Extraterrestrial Intelligence Center , and the
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REQUIREMENTS The Department of Energy and Mineral Engineering in the College of Earth and Mineral Sciences is seeking Part-Time Research Associates beginning immediately. Job duties include and are not limited
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REQUIREMENTS The Central Pennsylvania Research and Teaching Laboratory for Biofuels (CPRTLB) is looking to hire part-time research assistants to assist with metabolic engineering of industrial hemp. Job Duties
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, natural language processing (NLP), and research methodology. Requirements and Qualifications Candidates should have: Currently enrolled as an undergraduate student in Information Sciences & Technology
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clean, organize, and process structured and unstructured datasets from large databases BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s
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grades, is $56,200.00 - $81,500.00. Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both
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REQUIREMENTS The Department of Energy and Mineral Engineering in the College of Earth and Mineral Sciences is seeking a part-time MS student researcher. The successful candidate will: · Assist with
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AML using CDX, PDX, and genetically engineered mouse models (GEMMs) Perform in vivo imaging, tissue harvesting, flow cytometry and molecular analyses Maintain detailed experimental records and rigorous
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REQUIREMENTS The Department of Energy and Mineral Engineering in the College of Earth and Mineral Sciences is seeking a Part-Time Research Assistant. Job duties: Contribute to research projects outlined and
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structured and unstructured data, cleanse, process, and organize supply chain datasets from various web sources, industry reports, industry organizations, public data sources (i.e. census, public intelligence