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Field
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modeling approaches. The successful candidate will design and conduct experiments, develop and implement analytical and numerical modeling approaches, and perform microstructural characterization to evaluate
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QUINCY (Thum et al. 2019) into the Earth System Model ICON, and is currently using QUINCY for various ensemble-based projects including offline (i.e. reanalysis-driven simulations such TRENDY, NMIP) as
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, analytical/semi-empirical hardening models, or data-driven analysis methods, along with a demonstrated ability to independently develop new methodological approaches # Experience with, or strong interest in
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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-improving AI agents contributing to the development of methods for monitoring model behaviour, continuous evaluation, and improvement of agents across different training stages (e.g., pre-training and fine
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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Intelligence (DFKI), invites applications for a postdoctoral research position. The group develops foundation models, large language models (LLMs), and agentic AI systems for scientific discovery, engineering
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Challenge | Overheating in existing dwellings due to increasing hot weather Change | Affordable, acceptable, effective nature driven facades Impact | Improved health and lower cooling energy demand
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA