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methods to ultimately let dermatologists continually update multi-modal machine learning models. Our research objectives are to 1) develop novel model editing methods for multi-modal models, with a focus on
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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transportation challenges and opportunities with innovation, objectivity, and unmatched technical expertise. Our staff delivers excellence, value and thought leadership to ensure our research sponsors achieve
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communication and collaboration skills Preferred: Experience with simulation-based inference and Bayesian methods Familiarity with cosmological simulations or observational cosmology ML architecture design and
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. Prior exposure to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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assessment models, and statistical modeling in both frequentist and Bayesian frameworks • A solid track record of publications Appointment Type Restricted Salary Information Commensuate with experience Review
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Posting Details Position Details Title Postdoctoral Research Scholar - Forest Carbon Appointment Status Non-Tenure Track Department IU Bloomington Public & Environmental Affairs Location Bloomington
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Posting Details Position Details Title Postdoctoral Research Scholar - Novick Group Appointment Status Non-Tenure Track Department IU Bloomington Public & Environmental Affairs Location Bloomington
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complex data to meet project objectives. As essential staff, the postdoctoral researcher is required to maintain research continuity and meet project milestones, even during periods of departmental