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combination of different methods such as population genetics, analyses of fungal environmental DNA and soil spore banks in soil to find out about the life histories of ectomycorrhizal fungi in general, and
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and corrosion Developing a validated solvent degradation Process simulations of absorption-based CO2 capture with different process designs and industrial cases Combine the solvent degradation model
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the different organelles. Another approach is to use Monte Carlo simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between
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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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the interactions of trees with fungi and fungal-like (oomycete) organisms, including host symbioses and tree defense mechanisms. We conduct molecular diagnostics and host-chemical analyses to better
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previous work with supporting publications is a necessary: Development of DNA-based molecular robotic machines to carry out specific tasks with regulated functionality for various biological applications
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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degree programme No Description/content Our integrated research training programme for graduates offers all doctoral students at the ZMBP a broad interdisciplinary education in the molecular life sciences
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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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biology with a focus on plant genetics, molecular biology, bioinformatics or related fields. • Experience of working with plants in the field or greenhouse • Experience of working in a laboratory • Good