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- Università degli Studi di NApoli Federico II -Dipartimento di Medicina Molecolare e BiotecnologieMediche
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records at the TRUST platform (https://trustplatform.sg/) . Large-scale proteomics data have also been generated for these individuals. We are inviting a motivated Research Fellow to join our PRECISE-SG100K
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for research and employees from all over the world. We are looking for a Postdoctoral Fellow in Biochemistry-Proteomics (f/m/d) (Ref 01/2026) to join the group ‘Molecular Pharmacology & Cell Biology’ led by Prof
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use proteomic data to identify novel regulators of nervous system stability in health and disease. Examples of the application of this type of workflow from the Wishart group can be found here: https
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Università degli Studi di NApoli Federico II -Dipartimento di Medicina Molecolare e BiotecnologieMediche | Italy | 15 days ago
three-dimensional cultures and patient-derived organoids, and the analysis of data derived from “omics” techniques (such as RNA-seq, RIBO-seq, and proteomics). Where to apply Website https
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signal transduction. · Significant experience in advanced molecular cloning, protein biochemistry, and single-cell approaches. · Experience in structural biology, proteomics-lipidomics, and
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to core facilities including flow cytometry, FACS, confocal microscopy, high-throughput sequencing and proteomics. The selected candidate will be able to interact with a cross-disciplinary team of cell
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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initiation and progression. Using murine and humanized models, human patient samples, single-cell multiomics (CITE-seq), advanced flow cytometry, proteomics, and mechanistic studies, we aim to identify
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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pipeline. We will also apply our well-established single-cell RNAseq and proteomics to further obtain cancer genomic and proteomic data and genomic and proteomic data from immune cells for patient subtype