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- Technical University of Munich
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of Groningen, the last two years based on a work contract with the University of Oldenburg Website for additional job details https://uol.de/en/job/hd-researcher-liquid-biopsy-biomarkers-for-predicting-pan… Work
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(see references below), we want to open a new route to synthetic cells and to their spatial organization: high-resolution 3D printing to enable placement with µm precision into controlled landscapes and
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Development and Integration The department investigates the dynamics of the ocean carbon cycle, its variability and predictability, and its role in the Earth system through climate-carbon cycle feedbacks
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control the formation and early evolution of volatile-rich and volatile-poor bodies in the solar system, and to use that knowledge for predictions of compositional trends in planetary bodies in other
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The department investigates the dynamics of the ocean carbon cycle, its variability and predictability, and its role in the Earth system through climate-carbon cycle feedbacks operating across timescales from days
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, many regions worldwide still struggle to meet acceptable standards. One challenge of predicting the effect of emission reductions is the strong non-linear connection between emitted species and the
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Experimentation The department investigates the dynamics of the ocean carbon cycle, its variability and predictability, and its role in the Earth system through climate-carbon cycle feedbacks operating across
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parameters, digital twins, as well as complex nonlinear problems where AI-based methods such as deep learning are used to obtain better predictions. Connections to machine learning methods are primarily
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on understanding and controlling the formation and interactions of soft materials at the nanoscale using principles of molecular self-assembly. We harness a broad range of building blocks – including polymers
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an increasing human population and counteracting climate change. However, little is known about crop proteomes – the entirety of proteins that execute and control nearly every aspect of life. Therefore, TUM