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resilient adaptation from PGD. Current projects include developing predictive models of chronic grief outcomes in acutely grieving adults, characterizing the heterogeneity in grief trajectories, and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of toxicants may also be a component of this position. The studies utilize molecular and cell biological technologies, including single cell RNAseq/CITEseq, bulk RNA profiling and qPCR, spatial biology, flow
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models when they are needed. He/she is required to prepare routine reports for the studies, manuscripts for publications, and present the results in scientific meetings. JOB DESCRIPTION: Helps design and
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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, Collaboration, Data Analysis, Data Interpretations, Experimentation, Flow Cytometry, Genotyping, Laboratory Operations, Laboratory Techniques, Macrophages, Microbiota, Mouse Breeding, Mouse Models, Researching
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Current climate change scenarios estimate the growth zones to shift approximately 80 km northwards in a decade, and the speed is likely to accelerate towards the end of the century. On the other
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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biology, confocal/super-resolution microscopy or flow cytometry and be capable of learning techniques required for the genetic transformation of filamentous fungi. Candidates coming from model organisms
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We