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Biomedical Engineering, Bioengineering, Biomaterials Science, Regenerative Medicine, Pharmaceutical Sciences, Tissue Engineering, or a closely related discipline, and experience of cell culture, biomaterials
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University of Southern California - Center for Craniofacial Molecular Biology | Los Angeles, California | United States | about 2 months ago
collaborative and interactive research environment. Postdocs will participate in weekly seminars with other researchers who are interested in developmental biology and stem cells in tissue regeneration
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, and use genetic screening approaches to characterise novel nuclear modifiers of disease progression. The focus of your work will be on studying how nuclear and mitochondrial DNA defects lead to tissue
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and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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. What You'll Bring Required Qualifications Postdoctoral Associate PhD, MD, or equivalent doctoral degree in Neuroscience, Physiology, Pharmacology, Biomedical Engineering, Cell Biology, or a closely
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for analysing spatial omics and histology data from kidney tissue integrate imaging and molecular data to study how spatial patterns within tissue relate to graft health and disease work with clinical