20 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" research jobs at University of Nebraska Medical Center
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signaling, and transcriptomic analyses of host-pathogen interaction. Candidates should submit their application to Dr. Carabeo through this posting https://unmc.peopleadmin.com/postings/97011 . Applications
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out studies on Plasmodium falciparum. In addition, we have access to a wide variety of research core facilities. Lab website: https://www.unmc.edu/pathology/faculty/bios/ng.html The ideal candidate will
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) and mass photometry technology. · Experience with leadership, lab setup, and personnel training. · Website design and maintenance · AI/ML tools to aid the research environment · knowledge of the field
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disorders (i.e., Fragile X Syndrome). Taking advantage of multiple state-of-the-art techniques (e.g. multiphoton in vivo imaging, fiber photometry, EEG/EMG recordings, chemogenetic manipulation, and gene
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facilities. Lab website: https://www.unmc.edu/pathology/faculty/bios/ng.html The ideal candidate will have a strong background in cellular and molecular biology, malaria parasitology, demonstrated success as a
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to Dr. Carabeo through this posting https://unmc.peopleadmin.com/postings/97011 . Applications should include a cover letter describing research experience and interests (max. 2 pages), curriculum vitae
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for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications: Ph.D. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied
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, siRNA technology, qPCR, FACS analysis, confocal imaging, histology, immunohistochemistry, immunofluorescence, ELISA, Western blots, and other protein chemistry techniques. The ideal candidate will be
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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team of medical physicists, engineers, and clinicians, and will have unique opportunities to develop and translate advanced computational tools that directly impact patient care in a clinical environment