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an emphasis on technology, data science and the humanities. The position is supported by the MOE Tier 2 project, "Construct Kidney Organoids with Higher-Order Tissue Architecture for Studying Congenital Kidney
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), a unique technology capable of non-invasively monitoring tissue oxygenation, haemodynamics and mitochondrial metabolism. The position is funded through the newly established £50 million Medical
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
to develop advanced human microphysiological systems for immune-mediated disease and multiorgan biology. Our group reverse-engineers human physiology using primary tissues, organoids, microphysiological
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associated research groups. via Unsplash What skills are important in this role? Mandatory requirements PhD in Cell Biology, Molecular Biology, Biotechnology, Biomedical Sciences, Tissue Engineering
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requirements PhD in Cell Biology, Molecular Biology, Biotechnology, Biomedical Sciences, Tissue Engineering, Regenerative Medicine, Biomaterials, or a closely related field. Documented experience with mammalian
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translation. Candidates should have a PhD (or near completion) in a discipline relevant to gene delivery, cell biology and/or tissue engineering. Past experience of cell culture, hydrogel systems and cell
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structural and physicochemical properties for bone regeneration Develop, characterize, and validate a biodegradable ultra-pure nanocellulose for incorporation into tissue-engineered bone constructs Evaluate
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in material sciences, biomedical engineering, cancer and immunology. The candidate should have experience in tissue slicing, spatial omics and/or nanofabrication. To apply, please send your cover
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mammary epithelial cell culture technologies, breast tissue mimetics, engineered cell culture microenvironments, and cell culture substrata. · Design and perform competition and functional-fitness
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electromagnetic and thermal simulations. This work will include detailed tissue segmentation from medical images, integration of automatic and semi-automatic segmentation algorithms, refinement of anatomical