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flux measurements using biogeochemical modeling. They will be responsible for managing projects related to field instrumentation and ecosystem flux modeling. 20% designing and implementing trace gas flux
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and its success is built upon the innovation and drive of every member of our team, from faculty to administrators to technicians. Put simply, all of us are driven to provide the best eye care for our
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mechanisms of fertility loss in females, the role of the microbiome in reproduction, susceptibility of hens to diseases including avian influenza, using organoid models to investigate reproductive function and
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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induced pluripotent stem cells derived cardiac organoids for disease modeling and gene editing. This research aims to deepen our understanding of dystrophic cardiomyopathy and develop novel therapeutic
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biology, and tissue engineering to join our team. In this role, you will have the opportunity to contribute to broad research projects focused on cardiovascular disease modeling and cardiac regeneration
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and then model their space use and behavioral patterns. The post-doctoral researcher will also be responsible for coordinating a team to deploy and monitor behavioral playback cameras, developing a data
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Associate to join her Technology, Teens, and Families Lab (https://techteenfamily.wixsite.com/lab-website) at the University of Minnesota. Dr. Sun’s research focuses on how parents and adolescents use digital
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sequencing technologies to investigate somatic mutations and epimutations, exploring their roles in aging and age-related diseases. · Multi-omics Technology Development: Developing and implementing innovative
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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning