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Position Description The Condensed Matter Theory and Quantum Computing Group at the University of Basel led by Prof. Jelena Klinovaja and Prof. Daniel Loss invites applications for PhD positions
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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fraction of the data we collect. In this project, we will therefore seek to use advanced mathematical and machine learning approaches to identify hidden information within cardiac electrical signals that is
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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new approach has emerged that integrates data and mathematical models through neural networks. This has led to the development of a method for solving partial differential equations (PDEs) known as
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especially SMEs. Duties You will take Ph.D. courses while performing thesis work in the form of, for example, literature, articles, design studies, construction and programming tasks, theory development
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
Conference on Communication, Control, and Computing 2023. [9] F. De Moor, O. Boullé, D. Lavenier, De Bruijn Graph Partitioning for Scalable and Accurate DNA Storage Processing, BioRxiv, 2025. [10] M. C. Davey