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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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-conversion and is closely connected to the Munich Center for Quantum Science and Technology (MCQST), providing an interdisciplinary environment linking condensed-matter physics, quantum theory, and materials
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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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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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property testing. Cryptography, zero-knowledge proofs, and probabilistically checkable proofs. Locally testable and locally decodable codes. Computational learning theory. Structure-versus-randomness and
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or economics, with a specialisation in statistics or econometrics Very good knowledge of mathematics, particularly probability theory and statistics Proven programming experience in a high-level programming
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technologies to enable efficient, reliable, and intelligent communication between human operators and multiple robotic systems. Furthermore, the developed methods will be translated from theory to practice
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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
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constrain it. Within an ongoing research project, we are developing a theory of an adaptive legal framework for the hydrogen economy. In this project, we aim to empirically test this theoretical framework in
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Ever wondered what keeps your data flawless, and secret, as it travels through an optical fibre, even against the quantum computers on the horizon? The answer is error-correcting codes: clever maths