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individually, make a real difference. The role The Institute for Communication Systems home of the 6G Innovation Centre (6GIC) is looking to recruit a Research Fellow in Integrated Sensing and Communications
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focus on developing and integrating modeling, co-design, and data-driven optimization methodologies for BS-PDN-enabled systems, including 3DIC and chiplet-based architectures. This position offers
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epidemiology, remote sensing, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches; - Develop and implement
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individually, make a real difference. The role The Institute for Communication Systems home of the 6G Innovation Centre (6GIC) is looking to recruit a Research Fellow in Integrated Sensing and Communications
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Job Description Job Alerts Link Apply now Research Fellow (Computational Fluid Dynamics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Mechanical
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the design of evidence-based interventions within a unified Geographic Information System-enabled (GIS-enabled) decision-support platform. Key Responsibilities: Integrate and manage multi-source transport
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 18 hours ago
) Work Unit School of Architecture Work Location Integrated Design Research Lab (IDRL), Storrs Building Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time
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• Support the Principal Investigator in the design, execution, and integration of work across multiple research streams • Conduct literature reviews, data analysis, and evidence appraisal to inform
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project exploring evidence informed priority setting to inform Health Benefit Package (HBP) Design for Universal Health Coverage in Rwanda and Kenya. The postholder’s role will include: Contributing to work
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Intelligence & Machine Learning Develop machine learning and AI models to identify, predict and characterise genome instability patterns. Design generative and predictive computational models to infer mutational