64 advance-soil-structure-modeling Postdoctoral positions at The Ohio State University
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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
Chemistry or a related field. • Demonstrated expertise in plant natural product research. Candidates with expertise in purification and structural elucidation of small molecules, UPLC/QTof mass spectrometry
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postdoctoral scholar position. We are looking for a skilled and highly motivated postdoctoral scholar with expertise in biochemistry, cell biology, structural biology, biophysics or related areas to conduct
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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
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methods. Activities include isolation of nonvolatile compounds of interest by Prep-LC and structural elucidation by MS and Nuclear Magnetic Resonance (NMR). Preparation of first and co-authored manuscripts
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–mediated antigen presentation in tumor cells, with the goal of increasing tumor visibility to cytotoxic immune cells. Candidates will have the opportunity to work with cutting-edge models and techniques in
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, and academic and agency researchers, to help identify a data-sharing architecture (“database ecosystem”) suitable for use in the Great Lakes Basin. A potential need to conduct structured or semi
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effects of STING agonist-loaded, cell-based therapy in humanized mice bearing triple-negative breast cancer (TNBC). The individual must possess advanced scientific knowledge and be capable of exercising
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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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, in vitro splicing and mouse models serve as systems in which to study the mechanism for alternative splicing as well as the biological endpoints of the pathways. The laboratory's approaches include
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental