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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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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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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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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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. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and
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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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benchmarking. References: Flemisch, Darcis, Erbertseder, Faigle, Lauser, Mosthaf, Müthing, Nuske, Tatomir, Wolff, Helmig 2011. DuMux: DUNE for multi-phase,component,scale,physics,… flow and transport in porous
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these data and histopathology im-ages (in collaboration with PD Yuri Tolkach, University Hospital Cologne) • Integrating multi-modal data to identify genomic determinants of TLS formation Our long-term goal
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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process