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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
Investigação e Inovação em Saúde, Porto, Portugal. Scientific Area: Bioengineering. Project Title: “Integrated microparticle-hydrogel platforms for local brain drug delivery”. Workplan: The project will focus
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vesicles, cancer vaccines, brain cancer, motor neuron disease, protein corona, hydrogels, and gene therapy/editing. Hands-on experience in advanced cell culture techniques and in vivo models. Proficiency in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 5 days ago
-disrupting molecules. Wound dressing design: Development of a hydrogel-based dressing that supports wound repair and serves as a delivery system for the nanoparticles. In vitro testing: Evaluation of the wound
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of Macromolecular Chemistry Iaşi, organizes the competition to hire within the framework of the Exploratory Research Project (PCE) under Program 4 – "Program 5.1 – Ideas" entitled "Triple-Decker Hydrogel Powered by
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, nanoparticle formulation, peptide therapeutics, T cells therapy, extracellular vesicles, cancer vaccines, brain cancer, motor neuron disease, protein corona, hydrogels, and gene therapy/editing. Hands
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Politècnica de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D line: Synthesis and characterization of hydrogels with optimal
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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. This postdoctoral research position is part of a EU-funded collaborative project HYDROHEAL (https://www.hydroheal.eu/ ) with a total of 13 partners (7 academic and 6 industrial partners) from Spain, UK, Italy
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delivered directly to a wide range of tumour sites, including those deep within the body, using endoscopic devices. In this project, you will develop biodegradable hydrogels loaded with liposome-encapsulated
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thereby predict how to implement learning in soft matter, as Physarum’s responsiveness in wall visco-elasticity has its soft matter twin in synthetic hydrogels. Requirements As a suitable candidate, you