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screens Apply a wide spectrum of genetic, molecular, and cell biology, biochemical as well as immunological, and bioinformatics techniques to study translational aspects of cancer (e.g., Cre/loxP and Flp
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
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collaboration in research networks Your profile PhD in Bioinformatics, Computational Biology, Systems Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with
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, or organoid co-culture systems Computational/bioinformatics skills (e.g., R, Python, machine learning, or similar) are a strong plus. Salary and benefits Salary will follow the University of Pennsylvania FY26
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human