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Field
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About the role We seek a motivated Postdoctoral Researcher to make use of spatial proteome and transcriptional cell atlas data to explore how two microbial cells can manifest stable endosymbiotic
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work with microbes, in vitro cell cultures, and human biofluids such as serum. We have a strong focus on mass spectrometry-based proteomics, which we routinely integrate with genomics data and phenotypic
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, epigenomics, and proteomics) to simulate virtual neural stem cells or organoids. Investigating epigenetic regulation (DNA methylation, histone modifications) in stem cell fate decisions, reprogramming, and
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(HCC). The project integrates whole-exome sequencing (WES), RNA sequencing, high-throughput serum proteomics (Olink), circulating tumor DNA analyses. The postdoctoral researcher will contribute primarily
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medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets
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large-scale proteomic, transcriptomic, and perturbational datasets to build predictive and interpretable models of biological systems. The role will focus on developing computational frameworks
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-based proteomics to identify host factors essential for EBV persistence. Our goal is to uncover novel therapeutic targets for EBV eradication and the treatment of associated malignancies. Key
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synthesis. · Experience in LC-MS and LC-MS/MS analysis · Experiences in SDS or fluorescence gel electrophoresis, tryptic digestion and any other proteomic technique. We offer · A full-time contract for three
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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project
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molecular biology and immunology techniques along with multi-omics approaches, including sc-RNA-seq, bulk RNAseq, epigenomics, metabolomics, proteomics, CRISPR screens and genetically engineered mouse models