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tools for LAttice Structures» , funded by the Swiss National Science Foundation, we are opening a postdoctoral position for developing efficient algorithms for the topology optimization of architected
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Professor Justin Sirignano at Oxford and Professor Konstantinos Spiliopoulos at Boston University. The project develops new mathematical theory for training algorithms and neural network models, drawing
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at the interface between the two disciplines. In particular, this post will focus on the development of efficient learning algorithms for closed-loop optogenetic control of neural circuits in the brain
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collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research
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of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide
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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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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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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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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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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of algorithms for anomaly detection, simulate and test it on