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Field
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performs research at the interface of tissue, tumor, and vaccine immunology. Our overarching goal is to identify processes that optimize immune responses for application to the design of novel cancer
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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complementary techniques such animals handling. Analyze data, interpret results, and develop models to optimize nano wipe formulations for enhanced selectivity and biocompatibility. Collaborate with team members
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Life Sciences Center, University of Missouri, Columbia Job Description Responsibilities: Independently design, optimize, and execute experiments relevant to the mechanisms and therapeutics of SMA, SMARD
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. Excellent verbal and written communication required for manuscript and grant preparation. Innovation & Problem Solving - Will contribute to the optimization of experimental procedures that require novel
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Knowledge and Abilities Deep expertise in synthetic organic chemistry, including reaction design, optimization, purification, and structural characterization. Strong command of spectroscopic methods (H/C NMR
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on Compact Manifolds with Novel Feedback Coupling and Complex Network Optimization." Specifically, the selected candidate will address Research Objective (RO) (2) Investigate the dynamical phenomena of orbital
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environment to identify optimal combinations of TB drugs, old and new. Using high-throughput image analysis or large-scale quantitative fluorescence analysis, candidates will decipher drug efficacy and
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(WGS). You will play a pivotal role in analyzing PGx data from our Molecular Diagnostic Laboratory to identify and characterize clinically actionable drug-gene pairs, ultimately helping to optimize
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty quantification, Bayesian statistics, and multivariate optimization; must have excellent