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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 2 months ago
completed more than two years ago Solid knowledge of numerical physics simulations (e.g. COMSOL, ANSYS, Python) Particularly for engineering candidates - experience with CAD systems. An advantage
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develop, implement and validate state-of-the-art machine learning methods, ranging from deep learning and transformer architectures to unsupervised learning and representation learning approaches. You will
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and transformer architectures to unsupervised learning and representation learning approaches. You will work in close collaboration with clinicians, AI researchers, statisticians, and industrial
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into practice, so that end users can make better-informed decisions. For this purpose, PATH2ZERO aims to develop a digital twin. The main goal of this data-driven virtual representation of the inland waterway
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of interests and expertise. This will include data management, co-design of representations, and further development of a knowledge platform that supports knowledge exchange, citizen science and
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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make better-informed decisions. For this purpose, PATH2ZERO aims to develop a digital twin. The main goal of this data-driven virtual representation of the inland waterway transport system is to assess
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representation and reasoning of quantum knowledge You will help coordinate project proposals in the field of theoretical computer science, in general, and quantum information and computation, in particular, and
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interest and experience in investigating neural and psychophysiological processes of motivation, effort mobilization, and affective experience. Applicants should bring a sound knowledge of quantitative and
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, bioengineering, or a related field Strong interest in interdisciplinary research and novel approaches to scientific collaboration Experience in science communication, public engagement, outreach, knowledge