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applications. You will be responsible for: Perform physicochemical, histological, mechanical, and structural characterisation of decellularised tissue membranes and hybrid constructs supplied by industrial
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the epithelial tissues in both a membrane bound and secreted form. In case of cancer the membrane-bound mucin glycoproteins and a few other mucin-like proteins are highly overexpressed. The glycosylation status is
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technologies. In this context, the selected candidate will have the following responsibilities: 1) biofilm formation in membrane systems; 2) characterization of the biofilm/biofouling using imaging techniques
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research productivity. World-Class Benefits: St. Jude offers a world-class benefits package (https://www.stjude.org/jobs/hospital/benefits.html). Enjoy comprehensive healthcare, a competitive salary, tuition
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separation Rational design and synthesis of microporous organic materials Supramolecular chemistry and non-covalent interactions Ion-exchange membranes: their synthesis, manufacturing, and applications Redox
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for gas turbines, and gas separation membranes. The focus of all these technologies is on inorganic materials, which are processed as functional layers from powders or via the gas phase. For this purpose
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the central nervous system, with a focus on organoids, cell biology, membrane transporters, mitochondria, neurodegeneration and ageing. We are looking for three motivated colleagues who want to help build
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patients May need to work in any of the 24/7 nursing areas during busy times. (ES, ICU, Wards) Become familiar with normal and abnormal physical parameters including mucous membranes, capillary refill time
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About the role: The Costa Laboratory (https://profiles.imperial.ac.uk/t.costa ), in the Department of Life Sciences (https://www.imperial.ac.uk/life-sciences ), Imperial College London, invites
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Job duties A postdoctoral associate is sought for a position in Professor Richard James’ research group to develop predictive