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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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" geometry for the driver laser Analyze experimental data and communicate the results in work in progress reports, international conferences and publications in refereed journals Your profile Completed
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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as possible thereafter), as part of the "Helmholtz Institute for Climate Service Science" (HICSS) - a cooperation between GERICS and the University of Hamburg. The position is limited to 3 years and is
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aim to leverage high-throughput phenotyping to create knowledge about plant function at the physiological level and use forward genetics approaches to unravel the genetic architecture of root traits
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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. You will employ the trypanosome model established in our group to study its swimming behavior in soft tissue-like surroundings. This project is a part of the DFG-SPP 2332 priority program “Physics
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complemented by own lab testing e.g., SSRT incl. electrochemical charging. This includes supporting and setting up new HE testing facilities. This is part of a third-party funded project. We are looking for a
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significant impact on security of supply in the existing and future sector-coupled European energy system. As part of your work, you will identify and systematize potential disruptive events from