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Field
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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: Determine
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sites will not be located directly at the source of emissions, which will require transport infrastructure. As part of this work, you will model spatially resolved transformation paths for the energy
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control in full technical cells – humidity, temperature, pressure drops, voltage drops Supervision of university students Participation in project meetings Coordination with internal and external partners
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xenograft (PDX) models. To this end, the candidate will have direct access to cutting-edge mass spectrometry and advanced bioinformatics infrastructure. The project is part of the collaborative research
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Engineering Tissue Processing and Preservation Animal Models of Human Disease Principles of Organ Transplantation Topics covered during the third semester: Regenerative Approaches: Blood & Immunity; Liver
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regulation, using various models of developmental and disease biology. The past three decades of genetics research have been catalysed by technologies that map genomic information at increasingly larger scales
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://github.com/FZJ-IEK3-VSA/RESKit ). This framework currently uses historical weather data to model energy output and will be further developed to allow the simulation of renewable electricity production under
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://www.sustainable-pv.de The aim of the project is the integration and selective detachment of ultra-thin layers in solar cells for better recycling, as well as the development of controllable processes
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expertise in employing synthetic microbial communities, gnotobiotic mouse infection models as well as in molecular microbiology of gut microbiota and enteric pathogens. The TUM School of Life Sciences
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Great interest in pre-clinical in vivo models Ideally initial experience with Bioinformatics experience, especially in R What we offer Goal-oriented, individual training and development opportunities