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Gensler Center for Design Excellence Research Fellowship at California College of the Arts (CCA), Reporting to Assistant Professor Mark Donohue. June 16, 2024-August 23, 2024. Pay Rate: $25 per hour
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to mitigate any observed bottlenecks by means of materials design or device straggles. Such analyses may include modeling of the polymer properties and various physics occurring in these material systems. You
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of the group. What You Will Do: Use simulations to model and predict detector behavior, contributing to the optimization of detector design. Collaborate with technical and research colleagues to develop
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process design, simulation, scaling science, scenario modeling, and techno economic analysis. The emphasis will be on hydrogen storage materials and hydrogen end uses, gas separation technologies such as
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to the optimization of detector design. Collaborate with technical and research colleagues to develop prototype detector systems. Design, set up, and execute experiments to characterize and evaluate detector
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. Design and construct DNA plasmids. Create, design, and execute plant-microbe experiments using barcoded libraries of transposon mutants in diverse microorganisms to investigate metabolism and gene
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engineer diverse bacteria. Generate and analyze large-scale genetic datasets using high-throughput methods. Design and construct DNA plasmids. Create, design, and execute plant-microbe experiments using
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) services are designed to foster the development of healthy well-being necessary for success in a complex global environment. We are pleased to offer a variety of services to meet your needs including: Crisis
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of spatial transcriptomics data, and the design and interpretation of in-vivo perturbation screens with high-content spatial readouts. This postdoc will be joint with the Corrada-Bravo and Geiger-Schuller labs
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University of California, San Francisco (UCSF) | San Francisco, California | United States | 7 days ago
laboratory is interested in how oncogenes drive cancers and how a deeper understanding of their biology and functions can inform the design of far more effective treatments for patients with cancer. Our