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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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. You will work closely with technical teams to incorporate transcriptomic, proteomic, and other omics approaches, ensuring alignment across models and high-quality data generation to support robust
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models, preclinical mouse models, primary organoids, single-cell RNA-seq, proteomics, lipidomics, metallomics, standard molecular biology/cell biology techniques, and pathology/imaging. Please read more
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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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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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Responsibilities: Apply omics-based approaches (genomics, transcriptomics, proteomics, and metabolomics) to identify and characterize biomolecules involved in REE interaction and recovery. Engineer peptide- and
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therapeutic decision-making. Position Overview The successful applicant will work closely with a collaborative team to: - Identify and validate molecular biomarkers (proteomic, genomic, cellular) that predict
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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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. The postdoctoral fellow will lead efforts to develop novel machine learning models for integrating omics datasets (e.g., genomic, transcriptomic, epigenomic, proteomic, metabolomic) with relevant molecular pathways