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Field
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis
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, econometrics/causal inference, data management, coding (e.g., in Stata or R), and applied policy-relevant research. Skills in geospatial analysis and/or data visualization would be a plus. The candidate should
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, including experimental work, data analysis, and model development. 10% effort will support dissemination of research findings, including publications and conference presentations. The remaining 5% effort will
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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
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, spanning computational data analysis, community-based participatory research, community needs assessments, partnership-building, and related grant development opportunities. The successful candidate will be
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activities related to cloning and/or synthesis of nucleic acid nanotechnology Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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, vehicle dynamics, and complex real-world environments. Research themes include model predictive control, reinforcement learning, reachability analysis, uncertainty quantification, and safety-critical visual
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and/or R (geospatial stacks, data wrangling, visualization). Record of peer-reviewed publications commensurate with career stage and strong scientific writing skills. Ability to work collaboratively