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university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and
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into natural environments to track plants’ remarkable capacity to optimize development to their surroundings now and in the future. More information about ongoing research can be found on our website: https
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these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed
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engineering, precision agriculture, data science, machine learning, automated systems, or a closely related field Have experience working with ruminants Have experience in precision agriculture and/or precision
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-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
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fractionation of wood biomass The Department of Chemistry is offering a postdoctoral scholarship within the project Catalytic fractionation of wood biomass to phenols and aromatics over biomass derived carbon
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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dependable large-scale software systems, integrating expertise in: Software Engineering Machine Learning & MLOps Robotics & Cyber-Physical Systems Cloud & HPC ecosystems Interdisciplinary research. As a
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Research Technician (Technician III) The Roeder Lab, Weill Institute for Cell and Molecular Biology The Opportunity Dr. Adrienne Roeder’s research group at Cornell University (https
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical