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17 Apr 2026 Job Information Organisation/Company IFAC - CNR Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 27 Apr 2026 - 23:59 (UTC) Country Italy Type of Contract To be...
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optimizing agents.” Specifically, the research project involves carrying out the following activities: • Deriving theoretical findings on the impact of policies supporting minority groups • Disseminating
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writing for cluster usage Porting of software and run setups to novel architectures; modernization of existing software Optimization of critical parts of calculations Implementation of novel algorithms
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that improve clinical operations, access, quality, resource optimization, and program growth. This position requires strong project management skills, cross-functional collaboration, and a hands-on approach to
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paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant
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designs, optimization models, forecasting methodologies, and chain management principles, to improve overall systems. Analyzes existing flow of people, activities, and materials, employee work methods and
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at conferences, and collaborating with researchers from other institutions. The work will be interdisciplinary, at the intersection of online learning, algorithmic game theory, and optimization, with a focus on
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progress and make data-driven adjustments to intervention strategies as needed to ensure optimal outcomes. • Deliver clinic-based services, with potential opportunities for community-based service delivery
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cyberinfrastructure (CI) to design, build, and optimize high impact computational tools, algorithms, and analytical workflows that power innovative research in medicine. You’ll manage and analyze large datasets and
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This research focuses on developing and evaluating methodologies for the optimal design of control charts within the framework of Statistical Process Control (SPC). The study aims to determine the