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learning, non-Hermitian systems The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for PhD positions to work at the intersection of computational quantum many-body physics, machine
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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are: Obtained a first class Master in a relevant field, e.g. computer science, biomedical engineering or mathematical engineering Good understanding of statistics and machine/deep learning algorithms Interest in
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on rapid and accurate quantification of disasters using remote sensing and space geodesy. They will also advance InSAR processing algorithms to optimise change detection capability in Southeast Asia, where
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) Country United Arab Emirates Application Deadline 13 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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extension to four years, will focus on leveraging the next generation of evolutionary algorithms to evolve efficient, robust, and interpretable predictors and data processing algorithms. A crucial aspect will
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-performance computing on CPU and GPU clusters VR/AR or game development for applications including BCI Further information For an informal discussion relating to the role, please contact Prof Damien Coyle
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Application Deadline 23 Oct 2026 - 12:19 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Competition Funded Students Worldwide Prof F M Boissonade, Dr Thomas Paterson Application Deadline: 15 January 2026 Details A fully funded PhD opportunity to participate in the world-leading research
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are particularly interested in candidates working on quantum error correction, algorithms, simulation and qubit architectures. We are also interested in outstanding scientists in theoretical quantum computing in a