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description: Reference No. QM 2025/16 The Research Group Theory of Electron Dynamics and Spectroscopy is looking for Postdoc / Scientist (f/m/d) for the Development of Quantum Algorithms to Simulate Electron
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The Competence Center of Autonomous Digitalization Technologies at Fraunhofer IGD develops and automates 3D scanning technologies for fully automated reconstruction of cultural heritage and
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Developing advanced computational imaging algorithms Proof-of-principle experiments on complex nanomaterials and biological samples We are looking for candidates with a completed university degree in physics
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
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At the Fraunhofer Institute for Laser Technology ILT, we may not be developing lightsabers to fight the dark side of the force, but our innovationsoften sound like something out of science fiction
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algorithm to reduce noise in dual-tracer PET imaging and improve the quantitative accuracy of dual-tracer PET scans. Your Job Simulation of PET data using existing simulation packages. Development
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 27 days ago
Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical or environmental systems # Research on quantum and hybrid quantum–classical
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with