19 molecular-modeling Postdoctoral positions at The Ohio State University in United States
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to learn or become more proficient in the techniques in rodent models of lung injury/inflammation, fluorescence imaging, flow cytometry, proteomics, transcriptomics, and standard biochemical/molecular
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data from different cellular and molecular experimental platforms. Conducting studies in transgenic mouse models, managing mouse colony and their genotyping records. Develops and troubleshoots new
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Molecular Medicine
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vitro cellular models and in vivo mouse models to investigate mechanisms of cardiovascular disease. He should have prior experience with the molecular biology techniques such as immunoblotting, PCR
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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-based modeling, and multi-omics analytics, including bulk, single-cell, and spatial transcriptomics, to uncover molecular mechanisms in cancer, immunology, and more. With a strong translational focus, the
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the Comprehensive Cancer Center. Conducts research to characterize immunologic basis of human cancer using vitro and murine models; develops, adopts and implements new laboratory methods to achieve characterization
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Sciences | Molecular Genetics Administration The Ambro van Hoof Lab is relocating to The Ohio State University is looking to hire a Postdoctoral Scholar to join our lab for a start date beginning or after
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malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models