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applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under various operating conditions and develop strategies
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mostly provides an evaluation of the student's general astronomy background and should indicate where further learning is desirable. The IMPRS Advanced Courses consist of seven one-week morning lectures
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: doi.org/10.1002/advs.202409386 Your Tasks Defining security. You define security requirements for physical one-way functions Security analysis. You test non-invertibility using machine learning attacks
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and machine learning approaches. These are similar to earlier work
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dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair
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); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC Starting Grant ArtDisQ and the
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). Willingness to learn is expected, and the project provides ample of opportunities for acquiring novel skills and interdisciplinary perspectives. The ability to work in a diverse, multi-national team is required
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to acquire the skills•Good knowledge of German or English Desirable Qualifications: •Experience conducting research with human participants in behavioral and/or neuro-physiological experiments such as EEG
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aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS through various activities