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heterogeneity of paraganglioma and childhood neuroblastoma by developing a new analytic and experimental approach based on spatial transcriptomics and single-cell transcriptomics with integrated mass spectrometry
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. Computational candidates should be familiar with and be able to demonstrate experience with the analysis of single cell or spatial genomics datasets in R or Python programming. Experimental candidates should be
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at international conferences The successful candidate will apply and develop protocols including in vitro and ex vivo culture (2D and organoid), size exclusion chromatography, nanoparticle tracking analysis, flow
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the design and implementation of tailored computational workflows for the analysis of single cell and/or spatial transcriptomics data. Excellent communication and presentation skills as well as a collaborative