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influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
aims to develop a safe, stable, and universal synthetic oxygen carrier— a new class of hemoglobin-loaded polymeric nanocarriers— that could serve as artificial red blood cells to be used in emergency
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The need for blood-type matching in emergencies Risk of transmitting infections, such as HIV in the past This project aims to develop a safe, stable, and universal synthetic oxygen carrier— a new class of
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wind turbines, etc. Our research on anti-corrosive coating mainly covers development of novel and advanced anti-corrosive coatings, non-destructive coating performance evaluation, coating integrity
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by the EU Horizon program, you will have the opportunity to develop and utilize cutting-edge smart materials (e.g., metal-organic frameworks) to design a groundbreaking air-cleaning system that can
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. Qualifications The successful candidate holds a Master of Science in Engineering Science, preferably focusing on Innovation and Product Development, with excellent CAD skills and can collaborate in cross
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on the development of strategies for the removal of off-flavour compounds from aquaculture water by use of UV-AOPs. The PhD will be involved in investigation of the equilibrium and kinetics associated with the uptake
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the proposed project you will develop a new platform based on higher order modes and the Raman effect to demonstrate high-power fiber lasers and amplifiers at arbitrary wavelength. The project will among others
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Job Description Generative AI (GenAI) has taken the world and the software development scene by storm. GenAI has shown great promises of improving the productivity of developers, however, there are
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as