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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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for research papers where the analysis is used in the manuscript . Prepares and submits papers on research. Leads multiple papers and major research papers at the center of the laboratories larger goals
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limitations or potential issues with datasets and data types that may impact performance from machine learning algorithms. Re-trains models as needed to address new challenges or novel goals. Aids investigators
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, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research. Experience in organoids development, next generation sequencing (NGS)-based, single cell
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to programming, data structures, algorithms, networking, database, and cybersecurity. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum development
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 22 hours ago
in artificial intelligence (AI) for settings involving multiple interacting decision-makers---whether autonomous AI agents, humans, or a combination of both. Applications include mixed-autonomy
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applications for multiple tenure-track, full-time (9-month), benefits-eligible faculty positions beginning in Spring 2026 (January) or Fall 2026 (August). The successful candidate will teach and conduct research
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organoid experiments. - Gene editing assays: Use sgRNA/CRISPR to genetically engineer primary blood cells, targeting genes such as CD101, IL-10R, and IFNAR. Partner with Dr. Sulggi Lee (UCSF) to process and