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Field
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consumption of Wi-Fi interfaces and to evaluate by simulation the dynamic adaptation algorithms developed within the FACTO project. - design of energy models for Wi-Fi interfaces - implementation and validation
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aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern
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We are seeking to recruit a motivated postdoctoral researcher in Verification and Game Theory. You will enjoy developing algorithms, lower bounds, and possibly proof-of-concept implementations
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We are seeking to recruit a motivated postdoctoral researcher in Verification and Game Theory. You will enjoy developing algorithms, lower bounds, and possibly proof-of-concept implementations
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will explore reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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interested in candidates who can play key roles in developing data-driven modeling and decision-making algorithms for marine robotics applications. The selected candidates will join a multi-disciplinary team
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
and accurate orbit determination and hazard assessment methods. Research will center on: (1) developing new observation weighting schemes that exploit the expanded metadata available in the Astrometry
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algorithms, their theoretical analysis and verification. This is a year-to-year appointment, contingent upon funding and performance. Outstanding UA benefits include health, dental, vision, and life insurance
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Duties Job Duty Category Research Duty/Responsibility Develop and apply knowledge guided machine learning algorithms Evaluate the machine learning models with observational data at site to regional scales