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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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transition-metal complexes. The project will involve the reaction development, mechanistic studies, and synthetic applications. The postdoctoral associate will perform parallel reaction condition screening
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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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currently because novel therapies replacing orexin are being developed by the pharmacological industry; prospects for a career in academic or industry are high. In parallel with this effort, we are also
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
, or similar software. • Knowledge in SPARTA (Stochastic PArallel Rarefied-gas Time-accurate Analyzer) and DAC (DSMC Analysis Code), or similar tools. Point of Contact Mikeala Eligibility Requirements
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment This is a full
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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. • Direct experience with isolation and functional characterization of GPCRs and their signaling partners (G-proteins, arrestins, GPCR kinases, etc.) is strongly preferred. Selected Publications: Parallel
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approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar