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Field
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. Proficiency in conducting 10X single-cell RNAseq and conducting spatial transcriptomics is desirable. Application Process You will be required to upload a covering letter/supporting statement, CV and the
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imaging, spatial transcriptomics/genomics, (multiplex) immunostaining experience with protein-protein interactions and/or working with live snails is a plus affinity for bioinformatics techniques and
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and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What we offer The successful applicant is offered: Access
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for downstream sequencing and imaging. Performing MALDI mass spectrometry and spatial transcriptomics to characterize biological niches within mouse and human tissue samples. Performing quantitative imaging
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Integrates several data types that includes, for instance, single-cell transcriptomic and
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molecular and cell biology, transcriptomics, epigenomics and metabolomics, bioinformatics, immune fluorescence imaging, electrophysiology, and animal models of immunity in health and disease. The lab's
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single cell transcriptomic data. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including
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state-of-the-art approaches including single-cell and spatial transcriptomics, circuit tracing and connectomics, and automated behavioral analysis. In close collaboration with the Verstreken and de Wit
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advanced bioinformatic and statistical methods for integrative analyses across molecular layers (e.g., genetic, transcriptomic, proteomic data) in relevant tissues. Collaborate with national partners (e.g