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Field
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you join us? In the field of quantum technology, the institute is working on the realization of a quantum computer based on color centers in diamond. We use nitrogen-vacancy (NV) centers as qubits
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the open-field (field trials) experience in the statistical analysis of research results or willingness to acquire such using R or comparable programming language experience in creating and evaluating
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the art tool built upon the scientific machine learning environment (“SciML”) in the modern “Julia” programing language for high-performance symbolic-numeric computation in scientific computing and
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, proliferation, and evolution. To strengthen our expertise in bioinformatics and machine learning, we are offering a position for a highly motivated scientist with significant experience in bioinformatics, ideally
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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of geoscientists, biologists, and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Institution of Biodiversity and Earth System Research in Frankfurt, investigating how
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 2 months ago
(Einstein Telescope), acceleration techniques for gravitational-wave inference, including machine learning, cosmography with gravitational waves (including dark energy, dark matter, gravitational lensing
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interaction (HCI), or similar Practical experience in designing and conducting user studies Knowledge of scientific work, including initial experience with Citavi and Latex/Overleaf Interest in solving complex
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process development: application of machine learning and AI to analyse and optimise process parameters in high-temperature gas-phase synthesis and other advanced processing technologies; development
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. To this end, we develop system concepts, build them and carry out experiments for customers. You will be part of our team of four research assistants and eleven student assistants and learn hands-on project