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Field
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Knowledge of quantum physics Experience in quantum field theory Numerical simulation skills Ability to show initiative and work independently Excellent cooperation and communication skills and ability to work
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future scenario simulation of VBD Including machine learning, statistical, and process-based models Present findings at scientific conferences and publish in peer-reviewed journals Contribute
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evaluation of efficient training and reconstruction pipelines involving deep learning models Find required initial conditions for LWFA simulations which yield the reconstructed observed electron buch shapes
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opportunities within ScaDS.AI. Tasks: foundational and applied research in LLMs for traffic engineering, with particular focus on mobility knowledge benchmarking, simulation of human mobility behavior, simulation
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fundamental research and experimental working. Strong skills in VR, psychophysics, or computer simulation are another advantage Job requirements: The position is designed to encourage intersectoral and
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technology and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, psychophysics, deep learning or computer simulation are another advantage Job
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the 36 months immediately before the recruitment date Specific Requirements RESPONSIBILITIES Collaboration in publicly funded project QuRIOUS (https://www.quriousclocks.eu/ ) Simulation/design/installation
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance