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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
employment. Starting date: 01.04.2026 Job description:PhD Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling With cutting-edge research in the fields of ENERGY, HEALTH
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Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | 3 days ago
optimize bioinformatic tools, databases and workflows Collaborate with researchers to design experiments and analyze results Develop custom scripts and algorithms for data processing and visualization Your
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an innovative reconstruction algorithm and methods to correct factors impacting the quantitative accuracy of PET images. Our recent research has focused on dual-tracer PET imaging, in which two radiotracers
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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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. This position is to be filled at the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 6 days ago
focussed on the development of novel algorithms within the Direct Simulation Monte Carlo Method (DSMC) to improve aforementioned simulations. These algorithms include particle-particle and particle-surface
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models were successfully developed with methods of Quantum Machine Learning. In cooperation with the University partners the aim of this project ls to translate classical analysis and simulation algorithms
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reconstruction to overcome these challenges. Your tasks - develop physics-informed, self-supervised learning approaches for phase retrieval - implement reconstruction algorithms on HPC clusters for large-scale