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implementing and interpreting complex statistical models (e.g. hierarchical Bayesian models, geospatial analysis, time-series modelling, etc.). Experience with bioinformatic analyses (transcriptomics, proteomics
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-resolution microscopy), proteomics, proximity labelling, various other omics approaches and bioinformatics. Job description An ERC Starting grant-funded postdoc position is available in the group of Prof. Inge
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postdoctoral fellowship applications Desirable but not required Experience with proteomics, interactomics and/or confocal microscopy Experience with a crop, ideally wheat or soybean, will be to your benefit A
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Agrobacterium effectors and plant proteins, utilizing the newest techniques in proteomics, such as proximity-dependent labeling. You will also functionally characterize novel plant host proteins in both Zea mays
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demands of multidisciplinary research, the GIGA offers Core facilities, including advanced imaging, flow cytometry, proteomics/metabolomics, deep sequencing, and genome engineering. We offer We offer
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and/or comparable expertise (e.g from industry). Demonstrated expertise in omics data analysis, for example with (meta)genomics, transcriptomics, proteomics, metabolomics, single cell and/or genotyping
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others. We will investigate whether specific (heterotypic) interactions between the aggregation-prone regions of amyloid-forming proteins and the background proteome account for this. This hypothesis will