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, the main objectives are: To classify the topology of damage on blades, by studying the extensive relevant literature. Indeed, often-observed damage mechanisms of blades include the root and the transition
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communication to the base. This objective will be addressed by: Elaborating on the vibration harvesting technology, depending on the vibration frequency and amplitude. This is highly application dependent
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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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). The doctoral candidate will work on distributed intelligence and decision support for fleet-level monitoring of critical infrastructure. The objectives of this thesis include: developing graph-based and
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, ensuring strategic alignment with objectives and expected outcomes, timely achievement of milestones, submission of deliverables, and efficient allocation of resources. Stakeholder engagement & co-creation
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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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conditions. The objective is to understand how environmental and microclimatic factors, such as light, water availability, and temperature, affect plant functioning, and to provide stakeholders with benchmark