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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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focus on developing innovative multifunctional coatings with integrated antimicrobial properties. Key objectives include: Design and synthesis of multifunctional antimicrobial coatings. Materials and
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of this position is to establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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antimicrobial properties. Key objectives include: Design and synthesis of multifunctional antimicrobial coatings. Materials and physicochemical characterization of the fabricated coatings. Exploration of how
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establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development of an in vitro model
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in Materials Science, Physics, Chemistry, Mechanical/Computational/Electrical Engineering or similar with an outstanding research track record and strong expertise in at least one of the core