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, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and
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Excellent organizational skills and able to work within given deadlines Familiarity with image data analysis tools such as SPM, FSL, AFNI, DSIStudio, Matlab, Python etc Prior experience with academic
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(SCI) cases annually. The program’s research portfolio spans intraoperative imaging, surgical decompression strategies, registry-based outcomes science, and registry-embedded clinical trials focused
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lab developing technologies to improve ecosystem health. The candidate will support tissue culture, cell culture, cell imaging, multi-omics, live animal handling, and bioinformatics capabilities within
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expert to join a multidisciplinary automated drug discovery lab developing technologies to improve ecosystem health. The candidate will support tissue culture, cell culture, cell imaging, multi-omics, live
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Sciences Research Building (BSRB) on the University of Michigan Medical Campus. Primarily onsite due to wet-lab, mouse, and imaging work; limited hybrid flexibility may be possible for analysis/writing based
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contrast agent development or targeted imaging probes Experience with animal models Familiarity with quantitative ultrasound or image analysis Skills in data analysis To Apply: Interested applicants must
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for mechanistic analysis of meiotic crossover interference and high resolution imaging of single molecule dynamics of chromosomes Basic Qualifications expertise in high resolution imaging, knowledge of mitotic
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, or biointerface engineering. Familiarity with in vitro and in vivo validation, molecular biology assays, imaging, histology, animal studies, or regenerative microenvironment analysis. Strong publication record in
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is a condition of employment that the master's degree has been awarded. Experience in either molecular cloning, developmental and cell biology, quantitative image analysis, and/or genomics and