7 finite-element-analysis research jobs at University of Maryland

  • University of Maryland | College Park, Maryland | United States | about 11 hours ago

    , potentially increasing of adverse birth outcomes. The post-doctoral fellow, supervised by Drs. Amir Sapkota and Michel Boudreaux will perform statistical analysis linking exposure wildfire related air pollution

  • University of Maryland | College Park, Maryland | United States | about 11 hours ago

    , cryogenic systems, wideband gap materials, and Machine Learning based electrothermal analysis of devices. The Postdoctoral Associate will perform research under the direction of PIs – Dr. Samuel Graham and Dr

  • University of Maryland | College Park, Maryland | United States | about 11 hours ago

    bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease

  • University of Maryland | College Park, Maryland | United States | about 11 hours ago

    , conducting statistical analysis, and providing other research support. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Minimum Qualifications: Education: Eligible

  • University of Maryland | College Park, Maryland | United States | 16 days ago

    development and analysis, and testing. The project will provide a unique opportunity to work in a truly multi-disciplinary and multi-organizational team composed of transportation and urban planning researchers

  • University of Maryland | College Park, Maryland | United States | about 11 hours ago

    communities by 16S rRNA gene sequence analysis is preferred. Experience in applying molecular biology approaches such as genomics, transcriptomics and proteomics would be an advantage. An MS-level experienced

  • University of Maryland | College Park, Maryland | United States | about 11 hours ago

    of complex biopharmaceuticals and vaccines. Projects encompass methodology development, including data analysis, method harmonization and case study applications of state-of-the-art biomeasurement techniques

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