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and increased uncertainty in life and non-life insurance modelling. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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-doctoral researcher) to collaborate with the project “Human-centred, knowledge-driven NLP to ensure quality, integrity and transparency in a trustworthy digital ecosystem” of the Department of IT Languages
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University of California Office of the President | Oakland, California | United States | 17 days ago
improving quality and service to our campuses and beyond. We apply best-in-class sourcing methods with emphasis on sustainability and supplier diversity, invest in leading tools and technology, and cultivate
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of the department. Foothill - De Anza Community College District Mission Statement: The mission of the Foothill-De Anza Community College District is student success. We are driven by an equity agenda and guided by
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of the two types of SAACD. This project will involve formalising and integrating the contributions of : (i) model-based and data-driven systems engineering (MBSE), (ii) embedded frugal (explainable and robust
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post-doc position for you! About us The Department of Space, Earth and Environment brings together expertise in space, geoscience, energy and sustainability. Through curiosity-driven research, education
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-driven cost analysis that informs early project definition, scope development, and delivery method decisions across the capital portfolio. This role ensures that project budgets are credible, comparable
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Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH