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Employer https://main.hercjobs.org/jobs/22064088/data-analyst-med-school-of-medicine-genetics-molecular-med Return to Search Results
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candidates working on related topics, including nanoparticle database curation, molecular dynamics-based transport modelling, and reinforcement learning for treatment optimization. Contribute to high-impact
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
qualifications: Ph.D. in cancer biology, molecular biology, immunology, genetics, or a related field. Experience with cell and molecular biology techniques, animal models, immunology assays, or translational
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, preserving its mechanical properties is crucial. Tissue engineering (TE) and xenotransplantation, particularly using pig models, offer promising solutions. This project aims to advance meniscus TE and
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) at the Department of Geosciences starting as soon as possible. The preferred candidate should have carried out research in statistical modelling of human fossil, molecular, cultural and / or environmental data
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Center (IUSCCC; https://cancer.iu.edu/index.html) and the Director of Graduate Studies for the Cell and Molecular Cancer Biology (CMCB) PhD program (https://medicine.iu.edu/boomington/graduate-programs
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subsidiarity at the territorial scale," specifically through the "materials for energy storage" program. Using molecular modeling tools, the objective is to participate in the design of a single catalyst capable
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and/or pathogens (ideally Toxoplasma or related protozoa), protein biochemistry, animal models of infection, and working with omics datasets. For more information, please visit: https
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., pathophysiology, molecular signaling pathways, inflammation, therapeutics). Have knowledge and experience in handling Pancreatic cancer mouse models. Perform molecular and cell biology techniques such as DNA and
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on optical tweezers, atomic force microscopy and advanced fluorescence microscopy to characterize the biophysical properties of the endothelial glycocalyx with suitable cellular and molecular models