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distinctive feature will be the adaptive control of mobile sensors to optimize data collection and further reduce uncertainties. This PhD strives for strong scientific impact, contributing to global emission
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learning; convex analysis; functional analysis; mathematical statistics; numerical analysis; programming; optimization; stochastic analysis; systems theory. What you will do You are expected to develop your
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), numerical optimization, and inverse problems. Strong emphasis will be placed on personal qualities such as the ability to work in a team and to communicate effectively, as well as a strong analytical ability
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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publications Where to apply Website https://apply.refline.ch/673278/3818/bL2Dr6IO2Da5Uf-jMEQ.MlMlh-4sMSkme7x2Rp.w3P… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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at the contact scale, i.e., between two grains connected by a solid bridge formed by the solidified foam. These studies will provide a fundamental understanding of the hybrid material and allow its optimization
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi