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- Università degli Studi di NApoli Federico II -Dipartimento di Medicina Molecolare e BiotecnologieMediche
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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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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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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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an outstanding intellectual and technical environment for postdoctoral training in aging biology and multi-omics research. Fellows will have access to extensive genomic, proteomic, metabolomic, and clinical
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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 | 18 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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: chmatallab.com , https://fgu.cas.cz/en/research-and-laboratories/research-departments/laboratory-of-cardiometabolism/ Key Responsibilities You will lead experimental research combining in vivo and in vitro models
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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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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