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Field
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is quantum? Job description The radical theory of quantum mechanics is known to describe the fundamental physics of our universe at the nanoscale: from atoms and fundamental particles from a century
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problems in fundamental science: how irreversible macroscopic behaviour can arise from microscopic laws that are typically reversible. The project connects statistical mechanics, quantum theory and
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such as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will place particular
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas
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Max Planck Institute of Microstructure Physics, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 2 months ago
Job Offer from July 15, 2026 The Theory of Chiral Quantum Materials Group at the Max Planck Institute of Microstructure Physics invites applications for a postdoc position in theoretical and
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(postdoc) Limited until: 30.09.2030 Reference no.: 6045 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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will participate in conducting multiscale modeling such as quantum mechanics density functional theory calculations, molecular dynamics simulations, Monte Carlo simulations, and/or machine learning
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: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as NeurIPs, ICML, and
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the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and