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Postdoctoral Associate to work on a research project entitled "Using Virtual Reality for Analysis of Human Movement" under the direction of Professor Ken Perlin. This position will involve research in the use
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will focus on the prediction of genetic interaction networks and image analysis for automated phenotyping. We welcome interest in developing both ongoing and novel research projects in the lab, and are
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. Candidates with interest and experience in the study of accreting black holes or neutron stars, and candidates with experience in multi-wavelength data analysis, coding pipelines for optical imaging
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, flood risk and vulnerability analysis, and spatial modeling to work with diverse local and global databases to analyze and communicate urban climate change risks. This position will work closely with
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-based analysis applied to underground structures. Advanced subsurface characterization techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling, including tunnel-induced
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analysis of oral cancer specimens. Applicants need not have experience in all areas, as expertise is available in our group. We encourage postdoctoral fellows to broaden their skills and experience during
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modeling and risk assessment. This role requires expertise in ML model development, geospatial analysis, and environmental data processing. Responsibilities Design and optimize machine learning models (LSTM