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Research Associate position. The successful candidate will lead the development of ocean models, building upon existing modeling frameworks established by the group. The primary modeling tool will be SCHISM
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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, clinical, and longitudinal follow-up data, including statistical modelling and survival analysis. Process, curate, quality-check, and analyse DICOM imaging datasets across modalities including DBT
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
development of energy storage systems; experience with grid-scale deployment, power system impacts, or renewable energy integration; proficiency in techno-economic analysis and numerical modeling; and ability
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for ambitious scientists seeking to transition to independent research leadership while contributing to cutting-edge, interdisciplinary projects at the intersection of AI Virtual Cell modeling, Epigenetics, and
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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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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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Biology, Department of Life Sciences, to develop intelligent systems that integrate metabolic modeling, omics analysis, and automated literature mining. About us The Department of Life Sciences conducts