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presenting at scientific conferences 10% mentoring – training graduate and undergraduate students in the laboratory Qualifications Required Qualifications PhD or equivalent in Biomedical Engineering, Materials
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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
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computer science programs (Chemical Engineering, Civil and Environmental Engineering, Computer Science, Electrical and Computer Engineering, and Mechanical and Industrial Engineering). This two-year
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of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will
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interdisciplinary team of researchers and Ph.D students from Department of Computer Science & Engineering as well as other departments. Duties/Responsibilities: (60%) Research and development in networking, edge
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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
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for H-1B visa sponsorship. Qualifications *Required qualifications include: -PhD in Biomedical Sciences, Biomedical Engineering, or a closely related field. -Demonstrated expertise in thermal modulation
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publications. The exact research topics and activities will be designed to fit individual interests and expertise. We are looking for someone to start immediately. Qualifications Required Qualifications: ● PhD
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sponsorship. Qualifications Required qualifications PhD in biomedical engineering, electrical engineering, or equivalent engineering degree with an in-depth understanding of physiological signals in response
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procedures to engineer, manipulate, and phenotype yeast cells. They will perform molecular, genetic, and microbiology techniques and will be expected to select and adapt methods to meet specific research needs