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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
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dynamics out-of-equilibrium, and applications to quantum simulation, quantum optimisation, and related quantum algorithms. Depending on the candidate’s interests and expertise, the project may also involve
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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top setup prototyping the translation of dynamic quantum algorithms such as double-bracket algorithmic cooling to applications in quantum sensing using NV centers. With whom? With Prof. Marek Gluza
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models and algorithms using circuit simulation and design tools. The work will include the analysis of results, preparation of technical documentation and scientific publications, and dissemination
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-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs. The successful
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow (Wireless