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function. This role involves developing computational models, connectome analyses, and theoretical approaches using published and ongoing neuroscience datasets. The associates will collaborate with
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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The Chiu Lab (https://chiu-lab.org/ ) focuses on developing state-of-the-art multimodal AI models for cancer research. Our recent publications have been recognized by both the cancer research and
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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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, to conduct quantitative research on wildlife pathogen surveillance and aquatic invasive species modeling within the Department of Veterinary Population Medicine. The position involves wildlife disease
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More Jobs from This Employer https://main.hercjobs.org/jobs/22121024/postdoctoral-research-associates-statistical-and-computational-modeling Return to Search Results
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 29 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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gained to improve the sustainability of agriculture and the climate change resilience of crops. The Maere lab at PSB ( http://www.maerelab.be ) is active in the fields of computational biology
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and sequence-based mechanisms of gene regulation. Current projects focus on deciphering the regulatory landscape of the human genome by integrating AI-driven enhancer modeling with GWAS data and