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results at conferences and publish them in scientific journals. Your Profile In-depth knowledge of quantum computing algorithms Solid background in quantum dynamics Very good programming skills, e.g. in C
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-dynamical or environmental systems Research on quantum and hybrid quantum–classical algorithms for solving partial differential equations Implementation, testing, and benchmarking of computational methods
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Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school) Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS‑LEE project, we will use
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Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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parameters Documentation, interpretation, and scientific classification of the results Your Profile: Currently pursuing a degree in a relevant field such as energy engineering, mechanical engineering, computer
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, interpretation, and scientific classification of the results Your Profile: Currently pursuing a degree in a relevant field such as energy engineering, mechanical engineering, computer science, industrial
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months 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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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational