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, data-driven methods for meshfree simulation directly on large-scale LiDAR point clouds. Job description Accurate urban wind simulations are vital for understanding microclimate, urban heat, and pollutant
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and ecosystems) and fine particles (again, harmful to health, and impacting climate through scattering of radiation and influencing cloud formation). There are two key uncertainties in BVOC emissions
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different project partners; Support the coordination of junior researchers and developers Support to the preparation of new project proposals; Knowledgeable in the application of methodologies and
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, mobile platforms, industrial sensors/cameras, GPU workstations, and cloud platforms. Training covers research methods, scientific writing, open-source best practices, and impact/engagement. You’ll be
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control and management Coordination and preparation of new proposals; Knowledgeable in data science and AI and technologies for digital transformation within different sectors of society, including
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). The Computer Science group is looking for students to work on one of the following projects Distributed Intelligence for Self-Organising Cloud–Edge Infrastructures Carbon-Conscious Resource Scheduling for AI Workloads
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. For example, migrating to cloud-based infrastructure for storing insurance policies can enhance operational efficiency, yet it also increases energy consumption in data centers, elevating the company's carbon
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here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research at Corpus Christi, is seeking a highly motived Assistant
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will contribute to developing intelligent agent that supervises energy-efficient compute offloading over distributed edge and cloud. The application deadline is December 12, 2025, 2025 at 11.59 PM
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different sectors of society, including industrial, health, or occupational health: Process management and systems interoperability Internet of Things Knowledge and Data Management Use of international