83 postdoc-parallel-computing Postdoctoral positions at University of Minnesota in United States
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The PostDoc position will have the opportunity to work in a consortium of labs/PIs
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, Ph.D. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The CNS Lab at the Masonic Institute for the Developing Brain will be hiring a postdoc to contribute to a new study of 200
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. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals should be open to
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: Negotiable. Position will remain open until filled. Annual Salary: Based on NIH NRSA postdoctoral stipend levels . Postdoc No Experience: $62,232 Postdoc 1 year of Experience: $62,652 Postdoc 2 years
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for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
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students on data analysis and detector projects. 40% Instruction of introductory physics lecture section 25% Core reconstruction and simulation software and computing development 15% Construction
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Biostatistics program ranked #9. Pay and Benefits Pay Range: Based on NIH NRSA postdoctoral stipend levels . (depending on education/qualifications/experience) Postdoc No Experience: $61,008 Postdoc 1 year of
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, Center for Posted Date 05/30/2025 Job Title Assistant Professor Job ID 368525 Location Twin Cities Department OBGYN Gen Obstetrics & Gyn Posted Date 05/29/2025 Job Title Connecting Bridges PostDoc Job ID
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants