81 genetic-algorithm-computer-"UCL" Postdoctoral positions at University of Minnesota
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or induces repair in the retina. The project will integrate mouse models of genetically modified cell death sensors, retinal degeneration and inflammation. Responsibilities: • Design and conduct in vivo
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(can be concurrent with PhD) Preferred Qualifications: • Experience and expertise relevant to neuroscience, musculoskeletal biology, pain research or genetics/epigenetics/transcriptomics. • Experience
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job An NIH-funded postdoctoral position is available for a two-year program in the laboratory of Brendan Dougherty within
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position includes duties related to molecular biology, data analytics and manuscript development within a computational
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Graduate Program (MPaT) , teach fundamental principles of pharmacology to students in professional degree programs (MD, DDS, and MD/PhD), and provide individualized training experiences for our strong
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degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions
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yeast genetics and molecular/cellular biology expertise to join this international team studying the effects of polyploidy on cell physiology and evolution. The experienced researcher will run
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and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight
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professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Nguyen Lab is currently developing small molecule probes, biochemical, cell biological and genetic approaches