80 high-performance-quantum-computing Postdoctoral research jobs at University of Minnesota
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and conduct in vivo experiments using murine models of liver injury, fibrosis, and regeneration, including surgical procedures and drug administration • Perform high-parameter flow cytometry
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Archive all experiments performed in the course of the study, as well as the generated reagents in accordance to lab convention. 5% Routine laboratory maintenance Assist in maintaining a ready supply of
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function following construction. The project focuses on identifying variables and causal relationships that determine the long-term performance of designed and constructed ponds so that they can be managed
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processes to ensure bioburden reduction and then developing robust assays and quality controls to measure and verify the process met its intent. You are expected to perform high level experimental and
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computational infrastructure such as A100 and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research
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between neuromodulation and fMRI. The postdoc will work on the network level perturbation of neurocircuits using high-definition neuromodulation. This postdoc will lead scientific discovery in developing
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regulation during T cell contraction and resolution of inflammation • Perform high-dimensional flow cytometry for immune phenotyping and apoptosis/efferocytosis analysis • Use molecular and cellular tools (e.g
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for the development of new targeted cancer therapeutic approaches. Research technicians are responsible for performing standard bench-level laboratory experiments in support of scientific research. Responsibilities
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training while also performing services for the University of Minnesota, for which they are compensated. This position will involve analysis of variation in soybean and pea genomes, including natural
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic