139 high-performance-computing-postdoc positions at Saint Louis University in United States
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College Credit Program is the oldest dual credit program in the U.S. west of the Mississippi River and has a long history of providing high school students the opportunity to earn college credit from SLU
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large macromolecular assemblies carry out essential biological processes. These positions are supported by NIH (NIGMS/NCI) and DOE funding and offer the opportunity to work on high‑impact structural
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; prepares datasets; interprets experimental test data; performs updates of computer equipment; cleans, integrates, and manages data Sets-up and operates various scientific computing and high-performance
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transformative biomedical research. It is an exciting time to join us in BMB as a postdoc. The research associate (postdoctoral fellow) will work closely with a large research team (including SLU Education Policy
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performs administrative services; makes arrangements for events and meetings; corresponds with internal and external constituents; distributes mail; makes travel arrangements; screens telephone calls
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procedures Knowledge of the operation of modern office equipment including computers Excellent interpersonal/human relations skills and ability to work with other people Excellent verbal and written
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program including: coaching and teaching both instructional skills and team concepts; recruiting qualified student-athletes with a commitment to academic success; maintaining compliance with NCAA, Atlantic
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progress. Performs recruiting related activities: contacts high school players through written or verbal means of communication; travels to various high schools to scout games; assesses the skills and
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partners, ensuring effective coordination, clear communication, and high-quality clinical learning experiences for students. PRIMARY JOB RESPONSIBILITIES Collaborates with dean, associate deans, and other
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opportunities for high-impact publications and grant development. Key Responsibilities Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities