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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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research and developing decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more
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and human inner-ear organoid systems. Design, optimize, and evaluate gene therapy strategies, including AAV vector engineering and delivery approaches. Collect, manage, and interpret experimental
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the optimally energy efficient switching regime, avoiding the localised heating that plagues current energy assisted data storage schemes. We will explore experimentally and theoretically manipulation of magnetic
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upgrade of the CMS Drift Tubes, and optimization of the muon detection at HL-LHC”.The current trigger and readout electronics infrastructure for the DT chambers, the minicrate, will be replaced during
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processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness of converting biomass into valuable products such as biofuels and fine chemicals. We
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
the development of GISAXS data analysis methods and is responsible for analyzing the data obtained. The postdoc will also prepare and characterize the thin films studied using e.g. spin coating and AFM. The optimal
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characterize LNPs; optimize delivery to target cells; and evaluate therapeutic efficacy in relevant in vitro and in vivo models. Job Duties Works on projects under the direction of principal investigator (PI
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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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-related background signals in NGS datasets. Gain experience in defining, benchmarking, and continuously optimizing key performance metrics—including sensitivity, specificity, and limit of detection—through