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Field
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for immunotherapy response Neoantigen and vaccine immunology T-cell biology, immune repertoire analysis, and functional immune profiling Integration of multimodal clinical trial datasets using computational and
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Duties/Responsibilities: Synthesize, harmonize, and analyze large environmental monitoring and remote sensing datasets from coastal Louisiana Train and apply multimodal and generative AI methods to predict
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/# Summary of Job Duties: The Post Doctoral Fellow will be part of several research projects at the intersection of machine learning (ML), computer vision (CV), multimodal AI, healthcare, and robotics in a
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“Understanding how nature reshapes human sense of time to foster well-being and sustainable futures” (NATURETIME). The project aims to understand how nature experiences influence human time perception and how time
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analysis, time-series modelling, clinical prediction, risk modelling, survival analysis, causal inference, spatio-temporal modelling, or multimodal data integration. The candidate should be motivated by
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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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partnership and contribute across school-based research, teacher co-design, classroom implementation, mixed-methods and multimodal analysis, project coordination, and the mentoring of junior researchers
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and