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Field
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frameworks. Experimentally validating these methods through field experiments with real-world robotic platforms. The Postdoctoral Scholar will also collaborate closely with the laboratory members to execute
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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/2025-26/represented-oct-2025-scales/t23.pdf . A reasonable estimate for this position is $69,073-$77,030. Percent time: 100% Anticipated start: Fall 2025 Position duration: 2 years with the possibility
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Strong analytical and problem-solving skills Excellent written and verbal communication abilities Proficiency in a wide range of laboratory techniques and data analysis methods Competence with computer
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with health surveillance and related data to estimate climate-attributable risk under Deep Uncertainty. The candidate will also contribute to the development of interactive tools and training materials
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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are seeking highly qualified applications to explore visual and LiDAR based navigation methods in the IDEAS lab (https://ouideas.github.io/). The expected responsibilities for this position are to assist with
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work on projects funded by Patient-Centered Outcomes Research Institute (PCORI) that aim to develop statistical methods to address methodological challenges in serious illness and palliative care studies
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for CO₂ storage, integrating site-specific data and geomechanical coupling. • Perform leakage risk assessments using NRAP tools in conjunction with reservoir simulation results. • Update capacity estimates
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, Anthropology, Political Science, or related fields), earned by the start date. Required Related Experience Demonstrated expertise in qualitative research methods (e.g., interviews, ethnography, case studies