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Field
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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analyze electrochemical oxidation/reduction studies to validate drug-dependent or biomarker-dependent electron transfer and sensor response. • Synthesize and characterize nanoparticles of various
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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educational opportunities, networking and presenting at local, national, and international meetings, and reading current primary literature. Provides a friendly working environment and be available to teach
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research. Your primary research project will focus on electronics based environmental sensors to detect pollutants in water and microneedles for drug delivery for skin diseases, but you will have some
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research. Your primary research project will focus on MEMS-based sensors, circuitry design and fabrication, and data analysis, but you will have some latitude to study a variety of scientific topics chosen
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based at Yale School of Medicine for 25 years. It is an international, collaborative network of epidemiologists, statisticians, pharmacoepidemiologists, and clinicians with an exceptional record
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 days ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data