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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on AI training algorithms. The role will focus
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to develop algorithms, metrics, efficient software and visualization tools for the analysis of complex systems with higher-order interactions. The activity will focus on scalable computational methods
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research project involves the development of post-quantum key generation and
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development for quantum simulation Further details of the group are at https://yuxuanzhang1995.github.io/join/ , and informal enquiries to the Principal Investigator are welcome. Only shortlisted candidates
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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: developing precise parton shower algorithms and studying their consequences in jet physics. - Develop a parton shower algorithm that is precise to the next-to-single log for ee collisions. - Extend
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of predictive models, multimodal data integration, development of explainable AI algorithms, analysis of clinical, biological and imaging data, and implementation of software tools supporting biomedical research
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Design. With some 200 staff and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Based at CQT, the Project Manager (Quantum Algorithms
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understanding of Lithium-ion battery systems, BMS, and battery models, including equivalent circuit and electrochemical models. Proven ability to develop and implement state estimation algorithms, such as Kalman
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology