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control protocols for intrinsically protected quantum hardware. About you Applicants should have a PhD in theoretical physics, quantum physics, or a closely related discipline, together with expertise in
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• PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Quantitative Finance, or a closely related discipline. Skills: • Strong background in probability theory, stochastic
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control protocols for intrinsically protected quantum hardware. About you Applicants should have a PhD in theoretical physics, quantum physics, or a closely related discipline, together with expertise in
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Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0046 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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renewable energy engineering, power systems and energy market integration, stochastic multi-objective optimization, and data‐driven control methodologies) the project will establish a robust framework for
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and co-speech gestures during naturalistic communication, and how age-related differences in hearing, attention and cognitive control shape comprehension under uncertainty. The post-holder will
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants
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sector coupling across electricity, heat, and fuels, including Power-to-X pathways (e.g., hydrogen and synthetic fuels). Design and apply advanced optimization and control methods, including model
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description and work tasks The postdoctoral position is part of the QuantERA project ‘QM3L - Quantum protocols for Multimode Mechanics advanced by Machine Learning’, a European consortium combining theory
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control methodologies) the project will establish a robust framework for coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing