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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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, and RNA processing/splicing, as well as the development of enhancer activity lineage-tracing approaches in stem cell and/or mouse models. We are particularly interested in candidates with expertise in
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the influence of these adaptations on interactions with other bacteria as well as pathogenesis in various infection models. The Postdoctoral Associate will be responsible for: Isolating DNA from longitudinal
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in developing and optimizing infection models. In addition, the postdoctoral associate will have the opportunity to work in a collaborative environment, gain experience in studying polymicrobial
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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contact Taylor Arnold (tarnold2@richmond.edu) with any questions. For more information on the Distant Viewing Lab, please visit https://distantviewing.org . Create a Job Match for Similar Jobs About
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following scientific areas: computer modelling, fabrication, and testing of flight hardware, as well as project management. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE
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technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will assist with data collection, analysis, and scenario modeling for a DOE-sponsored assessment
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translational breast cancer research. We use cell culture and animal models to examine molecular mechanisms regulating the development and progression of breast cancer with a specific focus on the tumor
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immunotherapies. The successful candidate will play a pivotal role in modeling the complex tumor microenvironment and its dynamic interactions with therapeutic immune cells. While expertise in in vitro