43 postdoctoral-soil-structure-interaction-fem-dynamics PhD positions at Technical University of Munich
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Analyzer and Sorter, single-cell mRNA-sequencing etc.) • A cutting-edge highly funded research project in immunology (ERC-CoG funded lab) • A highly dynamic international young team in a thriving research
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Freising-Weihenstephan. - Polarity regulation by protein kinases during stomata development - Phospho-regulation of the plant cytoskeleton - Developmental adaptations for plant growth in soil. We seek highly
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at young adults. In addition, they will be supported in shaping the direction of their own research. The doctoral scholar will be part of a dynamic international team at the Institute for Ethics and History
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Master’s students, supporting their academic and research development. ▪ You will be part of a dynamic international team dedicated to advancing quantum technologies and computing with superconducting qubits
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application from qualified women. About the position The position involves both teaching and engaging in innovative research projects on tractor autonomy, path-planning algorithms, soil compaction modeling, and
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architectures, capable of capturing the structure of complex, high-resolution NMR spectra – analogous to how language models such as ChatGPT learn the structure of human language. One of the primary goals is to
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insights into the dynamic distribution patterns of human tissue resident T helper cells across space and time. Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells T
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and regulatory compliance for innovative NLP applications. Full-time position (100% TVL-E 13). A collaborative environment in a dynamic, young team at one of Europe’s top universities. Opportunities
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starting in 2025 within the TUM School of Life Sciences. The group is committed to uncovering mechanisms by which crop plants can increase the uptake of micronutrients from the soil and transfer them
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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models