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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding
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. Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission: Development and application of advanced simulation techniques to explore and
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algorithms for large-scale or distributed training/Robustness, fairness, and personalization in multi-agent learning/Training efficiency and communication reduction/Distributed training of transformer models
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cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy. Correlating experimental, ab initio and multi-scale simulation as well as machine learning
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Modeling / Primate Communication (m/f/d, E13 TV-L, 75%) The position will be filled for a fixed term until June 2029. Payment is at 75% of salary scale E13. Starting date could be January 1st, 2026, but is
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
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manufacturing costs of multi-junction solar cells and modules and to scale processes. Together with the department "Metallization and Structuring Technologies," we are looking for a PhD candidate as soon as
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career development. The career development plan will be adjusted to DC’s personal circumstances that may arise and updated along the Ph.D. programme.DC6 – Few-Mode Multi-Core Fiber for SDMSupervisors: Dr
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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, population-scale genetics, and molecular biology to understand how early life periods, such as minipuberty and puberty, shape reproductive capacity. The position is embedded in the IMF-funded project “ANDROGEN