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, the assistant will preprocess raw omics data, conduct exploratory and multivariate analyses (e.g., PCA, CCA), and iterate on new algorithms for mutant detection and pathway discovery. The role is ideal for a
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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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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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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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, 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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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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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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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