75 parallel-and-distributed-computing-phd Postdoctoral positions at University of Minnesota
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for presentation. Instruct students, fellows and other inexperienced professional persons in proper laboratory methods and procedures. Qualifications Required Qualifications: A Doctorate Degree (PhD, which is
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meetings with the PI and partners; assisting with project progress reports, and outreach to stakeholders. Qualifications Required: PhD in Natural Resources, Environmental Psychology, Environmental Sociology
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with an expertise in dynamical systems, stochastic processes or network dynamics in the context of mathematical biology. Prior experience with mathematical/computational neuroscience and scientific
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hearts Assist with human heart anatomical studies and imaging and developing high resolution computational models and 3D printed models to be used for device testing Work under general supervision but is
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. Qualifications Qualifications: PhD in Civil & Environmental Engineering, Hydrology, Geosciences, or a related field. Strong background in laboratory experimentation (microfluidics involving microbes, reactive
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. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
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the fundamental science that will lead to realizing the potential for the subsurface storage of CO2 through mineralization. The successful candidate should have a PhD in civil engineering, mechanical engineering
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of human retrovirus (HIV & HTLV) particle assembly. Successful recruits will possess a terminal doctorate (ideally PhD degree) with strong experience in biomedical and/or physical sciences and will be
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. Assist other lab/community members, as needed. This position is not eligible for H-1B visa sponsorship Qualifications Required Qualifications: PhD in Environmental Engineering, Chemistry, Chemical
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that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred