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, developing optogenetic and CRISPR-based logic circuits, and using Raman spectroscopy to monitor cellular responses and validate model predictions. The work will directly inform the design of multiplexed
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experiments combined with optogenetic, chemogenetic, and pharmacological manipulation of neural circuit function. • Experimental Setup: Develop and maintain behavioral and recording systems. • Data Analysis
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the following two research directions: - Electrochemical CO2 reduction: electrocatalyst development; flow reactor design; integrated CO2 capture and reduction. - Electrochemical NOx reduction and building C-N
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Performance Computing & Linux • A proven track record of peer-reviewed publications Preferred Qualifications • Experience with US3D CFD software • Experience developing numerical CFD methods for integration
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interdisciplinary team at the NSF COMPASS Center, which integrates tissue engineering, stem cells, materials, virology, computational biology, machine learning, molecular environmental engineering, science
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the following directions: 1) Developing computational methods for integrating multi-modal data, such as scRNA-seq, scATAC-seq, spatial transcriptomics, ChIP-seq, and CRISPR screening. 2) Investigating context
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molecular dynamics simulations. This position emphasizes research in the modeling of complex chemical systems, where the candidate will integrate advanced simulation techniques with modern machine learning
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recruiting a Postdoctoral Associate in Biochemistry and Metabolic Engineering of Volatile Natural Products. The Tholl lab integrates biochemical, molecular, and genomic tools to investigate the metabolism
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suite of 3D numerical simulations of the thermochemical evolution of Mercury that integrate a new melting model with realistic assumptions regarding the mantle rheology. The models will be constrained