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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
individual-based models, called Branching Resource allocation Processes (BRP), that will enable investigation of the variability of growth phenotypes in a proliferating microbial population in terms
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investigating plant physiological responses to nutrient limitations, with a focus on phosphorus (P) and carbon (C) dynamics, biomass allocation and mobilization, and the mechanisms underlying nutrient deficiency
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, simulating, and evaluating system data, providing insights on pricing, incentive alignment, resource allocation, and multi-stakeholder interactions. Design commercial mechanisms and incentive models for LLM
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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of: • Health systems engineering and systems architecting • AI/ML-driven clinical and operational decision support • Digital health and learning health systems • Healthcare operations, resource allocation, and
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 14 days ago
traditional cellular systems, each device is allocated orthogonal resources prior to uplink transmission via a grant mechanism. However, this allocation requires signaling on control channels, which can exceed
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automatically distinguishing between relevant and irrelevant data, developing appropriate model evaluation criteria for these models, solving a realistic, high-dimensional asset allocation problem with
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of development, investment decision making, financing, and construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations
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for these models, solving a realistic, high-dimensional asset allocation problem with appropriate constraints, and finally applying a comprehensive end-to-end framework for asset allocation through a data-driven
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highly desirable that the candidate has prior research experience in one or more of the following research topics: Resource allocation for wireless networks Radio resource management and mobility