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Field
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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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that extend beyond current capabilities. Potential targets include queues, deques, priority structures, linked structures, and new DNA-native information architectures capable of operating in vitro or in living
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adaptive instruments can effectively support the development of the hydrogen economy rather than constrain it. Within an ongoing research project, we are developing a theory of an adaptive legal framework
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Primary Supervisor: Dr Jonathan Kirby Model theory is traditionally done with “classical first-order logic”, the logic which allows unlimited use of the operators AND, OR, NOT, with the EXISTS and
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of Klebsiella, a clinically important pathogen. Combining eco-evolutionary theory, lab experiments, and genomic sequencing, you will help build and validate a model predicting how antibiotic selection shifts with
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Primary Supervisor: Dr. Christopher Birkbeck This PhD project, based at our Norwich campus, offers a unique opportunity to work at the confluence of number theory, representation theory, and formal
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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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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems