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Field
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University’s Agroecosystems Modeling group seeks applications for a postdoctoral associate with interest in evaluating climate change impacts and adaptation alternatives for US agriculture and water resources
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. In particular, creating wide area networking telemetry techniques to identify protocol limitations and create models to evaluate different protocol options. Project 2 (Programmable infrastructure
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molecular mechanisms of carcinogenesis from a developmental perspective using Neurofibromatosis Type 1 (NF1), a common tumor predisposition human genetic disorder, as a model. While working on
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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participation in proposal writing. Her/his technical proficiency should encompass isotope geochemistry, hydrogeology, and numerical modeling. A deep understanding of serpentinization processes, including water
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records Write reports for submission to research sponsors Present findings to colleagues and at conferences Submit publications to high-impact refereed journal Perform in vivo experiments on mouse models
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circuit modeling, in vivo two-photon microscopy of synaptic and cellular activity, two-photon optogenetic perturbations, CRISPR/Cas9 gene manipulations, and rodent visual behaviors. In
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future where robots can match humans in learning how to manipulate any deformable, rigid, or articulated object in any situation. The postdoctoral fellow will be joining IPRL to perform cutting-edge
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat
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). Knowledge and abilities with advanced analytical techniques such as LC-MS, GC-MS, Raman spectroscopy, and NMR for compound identification and metabolic profiling. Familiarity with statistical modeling and