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spectral flow cytometry and microscopy (FELASA certificate required). Experience with -omic approaches and computational tools for data analysis is desirable. Solid publication record in peer-reviewed
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to the development of a radically new method for 3D reconstruction of nanomaterial scans. The technique will be dedicated to the analysis of semiconductor samples in close collaboration with imec Belgium (https
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving
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, troubleshooting and analysis Experience in Immunology or Neuroimmunology Experience in working with mouse models (FELASA B or C required) Ability to adapt to the research environments while being full members
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Post-doc eligibility criteria Required Skills Minimum 3 years hands on experience with complex flow cytometry is required, including panel design, testing, troubleshooting and analysis Experience in
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, troubleshooting and analysis Experience in Immunology or Neuroimmunology Experience in working with mouse models (FELASA B or C required) Ability to adapt to the research environments while being full members
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. Furthermore, the lab also hosts state-of-the-art facilities dedicated
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and
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recapitulating neural-microglia interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function