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Field
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& Translation: * Translate complex computational concepts (agent reasoning, instruction tuning, offline/online RL policies) into physical, automated lab execution protocols. * Map domain-specific polymer science
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 23 hours ago
experience developing and evaluating reproducible geospatial analysis methods using platforms such as Google Earth Engine and GIS, comparing multi-sensor indicators, creating maps of pre-fire vegetation
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to identify potential therapeutic candidates. Applying computational structural tools to model target structures, map binding pockets, and integrate structural insights with laboratory assays. Designing and
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, QA/QC, harmonization, storage, and processing workflows across heterogeneous binational datasets for the TMDH framework. Support to develop APIs, dashboards, and decision-support tools (e.g., web-based
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approach, including biochemistry, flow cytometry, single-cell transcriptomics, optical mapping, molecular cloning, and advanced phenotyping in transgenic mouse models. This is an excellent opportunity
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detailed structural information on active pharmaceutical ingredients (APIs), pharmaceutical cocrystals and salts, formulated drug products, and other complex solid-state systems. Projects will utilize state
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against A-Lab experimental campaigns and integrate simulation agents into live campaigns through AlabOS APIS. Compute first-principles active-site descriptors for $\text{CO}_2$ conversion catalysts (vacancy
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genetics. This position offers hands-on training in state-of-the-art experimental and computational methods, including single-cell genomics, chromatin profiling, quantitative trait locus (QTL) mapping, and
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& Training, Network Programming (UDP/TCP/ZeroMQ), API Development, CUDA programming, python programming, Hardware Acceleration, strong verbal and written communication skills necessary for writing research
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instrumentation. Experience with Python, model/API integration, retrieval-augmented generation, tool-using agents, scientific databases, and automated experimental platforms is highly desirable. The candidate is