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advanced materials research. These shared facilities foster collaborations across physics, chemistry, materials science, and engineering, enabling faculty and students to address complex scientific
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, obesity-related cancer, metabolism, cardiovascular, microbiome research, or the tumor microenvironment. · Experience with syngeneic or genetically engineered mouse models, flow cytometry, histology
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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 Department: Engineering
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engineering, and/or biotechnology will be considered. Preference will be given to applicants with experience in next generation sequencing and cell imaging techniques. The Post Doctoral Scholar position is
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responsible research practices. Minimum Qualifications: A doctoral degree, such as PhD, MD, MD/PhD, or equivalent, in Biomedical Engineering, Neurobiology, Neuroscience, Cell Biology, Molecular Biology, or a
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engineering. Strong interest in AI-based protein design approaches. Prior research experience in glycoproteins and antibody–antigen interactions. Experience with membrane protein expression and purification
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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, and metabolic disorders. Experimental approaches include genetically engineered mouse models, MI and sepsis (CLP/LPS) models, aging and metabolic disease models, and molecular, cellular, imaging, and