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conditions and under the impact of the food supply chain, including food processing. In this context, the aim of the PhD project is to investigate the influence of drought stress on sulphur-containing plant
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plant genetic mechanisms that coordinate mycorrhizal interactions with plant P and water status, root system development, and soil microbial communities. Using maize and rice as models, we will: 1
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groups in Mainz (Schweiger lab) and Basel (Keller Valsecchi lab) to investigate the molecular mechanisms controlling gene reactivation during development. Using human induced stem cell models with
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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(extravascular coagulation signaling) in homeostatic condition as well as in aging mouse models. Identification of these interactions could provide new approaches to counteract or delay age associated exhaustion
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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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the Access-Repair-Restore model. Histones, an essential component of chromatin, are post-translationally modified via methylation, ubiquitination, and acetylation to regulate DDR-related chromatin functions
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dynamic research environment with first-class laboratory facilities near Berlin and Potsdam a pleasant and appreciative working atmosphere flexible and family-friendly working time model and the possibility