59 advance-soil-structure-modelling Postdoctoral positions at University of Minnesota
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regeneration using human induced pluripotent stem cells derived cardiac cell types and engineered tissue models. As a team member, you will be responsible for conducting experiments and collecting data. You will
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structure and function, including experience with gene expression analysis • Hands-on experience with mouse models of inflammation, neurodegeneration, or retinal degeneration • Strong written and verbal
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indicators (GEVIs) for single-neuron, single-spike resolution recordings in behaving animals. The incoming candidate in the Kannan lab will apply advanced optical tools and multipopulation voltage imaging
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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the atmosphere and understand transport pathways by combining observations of PFAS in precipitation from the National Atmospheric Deposition Program with atmospheric modeling techniques. This position primarily
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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machine learning analyses will be performed to determine correlations across stimulation settings and body systems as well as to develop predictive models and biomarkers for physiological and clinical
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of Dr. Jae Sung Lee. Dr. Lee's laboratory focuses on the development of innovative biomaterials to advance the use of biologically active therapeutics in regenerative medicine. The successful candidate
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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
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join our research group to develop advanced techniques for ultra-high field (UHF) perfusion imaging. The successful candidate will have an opportunity to work with a highly experienced and multi