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Field
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management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what happens in source areas is also essential for interpreting developments in nature reserves
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and research possible. Postdoctoral Researcher – Modelling Plant–Microbe Interactions Our goal: Develop computational models that integrate plant developmental processes with microbial community
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available. In parallel, we prospectively collect skin biopsies from well-phenotyped Parkinson patients (ProPARK cohort). We generate well-defined iPSC. Using advanced genomics and proteomics we aim
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for causal inference; make use of available and newly obtained omics datasets as input for your approaches; collaborate with both experimental researchers as well as with bioinformatics/systems biology
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of proteins and other biomolecules that work together and are involved in cellular processes and in disease. The group houses an excellent array of state-of-the-art mass spectrometers, combined with extensive
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designing and executing CRISPR-based genetic screens and applying advanced genome editing techniques. These approaches are critical for identifying genetic determinants and associated physiological processes
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(NOBV ) aims to monitor and evaluate measures designed to reduce greenhouse gas emissions and mitigate land subsidence in Dutch peatlands. One important aspect of these efforts is obtaining process
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with glycobiology, structural biology, or influenza evolution, for example using glycan interaction assays, bioinformatics tools, or structural models to refine hypotheses. Additional Information
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-based modeling (e.g., soil carbon models; geotechnical approaches), or bioinformatics (e.g., microbial community analysis) would be an advantage. You are able to work independently, but also within
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strategies; proven ability to design, execute, and troubleshoot pooled and/or arrayed CRISPR screens in mammalian cells; strong computational skills in bioinformatics and data analysis (e.g. R, Python