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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 10 days ago
implementation of advanced algorithms, including variational and optimization-based approaches # Investigation and adaptation of mathematical methods in hybrid classical–quantum computing contexts # Documentation
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, real-world grid data. Your tasks in detail: Design a framework to distribute a distribution grid Develop a distributed version of an existing Bayesian Distribution System State Estimation algorithm
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of accuracy, generalization, and computational speed Integrate models with the existing synthetic grid package Optionally contribute to writing a scientific paper on AI-enhanced grid simulations Your Profile
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for a candidate with the potential to build a world-leading, independent research program in the field. You will be responsible for appropriately representing the field of machine learning in digital
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Researcher (R3) Application Deadline 16 Feb 2026 - 10:25 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Organic Chemistry in
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to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph Theory offers a position as
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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with
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or more of the following areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent
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to excellent high-performance computing facilities, measurement equipment and labs, e.g., a unique lab with variable acoustics (see demos on YouTube channel: https://www.youtube.com