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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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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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Excellent communication skills in English Desirable but not required Skills in phytoplankton genetic engineering Hands-on experience with high resolution mass spectrometers and/or data analysis Programming
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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
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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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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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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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should have knowledge in the following tools used for the analysis and synthesis of antennas: CST Microwave Studio OpenEMS (free and open electromagnetic field solver using the FDTD method) Matlab Convex
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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