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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
analysis for imaging projects; 3) Evaluate new theranostic compounds in terms of biodistribution, imaging capability, therapeutic efficacy, and tissue toxicity. 4) Conduct radiation studies to develop new
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Ozbolat Laboratory in Penn State's College of Engineering has multiple openings for Postdoctoral Scholars in the field of bioprinting, tissue engineering
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of stem-cell derived models, these platforms open new avenues to systematically explore tissue self-organization and disease mechanisms. The group of Prof. Bausch is establishing an automated cell culture
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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affects the performance of the cells and tissues in their response to environmental stress, including limited nutrients, salt stress, genotoxic stress, etc. The ultimate goal of the grant is to identify
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, therapy resistance, metastasis, patient-derived organoids, or tissue explants. Cancer Therapeutics: Target discovery and validation, antibody therapeutics, antibody-drug conjugates, engineered cell
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chemistries to optimize connective tissue repair and regeneration. The position starts as early as Summer 2023. Minimum Qualifications: Ph.D. in biomedical engineering, chemical engineering, chemistry, or
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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echocardiography, real-time measurements of function using 2D, M-mode, & Doppler technology, as well as data analysis. Tissue harvesting, staining and flow analysis for immune cell subsets. Perform data analysis
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imaging, genetics, omics, EHR data, and clinical outcomes. Ongoing work builds on deep-learning phenotypes from cardiovascular imaging at population scale and extends toward myocardial tissue remodeling