71 phd-mathematical-modelling-population-modelling Postdoctoral positions in Switzerland
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sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
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conditions. In addition, there is a close collaboration with the EcoVision Lab of the Department of Mathematical Modeling and Machine Learning at the University of Zurich, which will facilitate the transfer
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ETH Domain. In our Laboratory for Advanced Materials Processing in Thun, near Bern, we are currently looking for an outstanding candidate to conduct cutting-edge research at the interface of modeling
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artificial intelligence, for integrative modelling of macromolecular complexes, including protein assemblies, protein-ligand interactions, and conformational changes. Our research also aims to understand and
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human tissues. These gaps hinder the development of physiologically relevant laboratory models for drug discovery. As part of the Swiss research network http://www.nccr-antiresist.ch/ , the Bumann lab
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meetings Requirements This makes you unique PhD in soil science, agronomy, ecology, botany, microbial ecology, or related fields Experience in analyzing soils' chemical, physical, or biological properties
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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure
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vivo relevant models for antimicrobial assessment to demonstrate the efficacy of the developed coatings under conditions closely simulating in vivo environment The work aims to advance the fundamental
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Postdoctoral researcher position on Resilient Energy Infrastructures for the Swiss Energy Transition
systems) Considerable experience in at least one (preferably two) of the following: mathematical optimization (emphasis on adequate modelling, problem formulation), power system dynamics, electricity
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the effects of innovative fermented products on gut microbiota. This research will involve the use of advanced technologies such as gut fermentation models, metabolomics, and Illumina marker-gene sequencing