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the direction of Luke Johnson, PhD and Jerrold Vitek, MD PhD, the Post-Doctoral Associate will work collaboratively within the NMRC on a clinical research project and have the unique opportunity to perform
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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identifying metabolic linchpins then targeting these pathways for gain- and loss-of-function studies. Experiments will include utilizing and where indicated optimize state-of-the-art assays to measure then
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal
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and circuit manipulations in behaving mice. Develop and optimize behavioral paradigms. Conduct stereotaxic surgeries, viral targeting, optogenetic manipulations, histology, and anatomical validation
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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how you can be a part of AgriLife and make a difference in the world! Position Information Responsibilities: -Develop ecohydrological modeling for plant water stress and irrigation optimization. -Study
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 16 hours ago
reservoirs, (2) identify new opportunities for safely and effectively expanding underground natural gas storage operations in the U.S., and (3) optimize produced water disposal operations to maximize stored
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of viral populations across oral samples. The successful candidate will have previous experience implementing and optimizing viral metagenomic analysis pipelines and working with commonly used command-line