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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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databases regarding the thermomechanical behaviour of refractory masonry in the context of steel ladles used in the metallurgical industry; Development and validation of finite element models, considering
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the Interdisciplinary Centre for Sustainable Development (IZNE). The doctoral students learn autonomous scientific work through participation in these international collaborative projects and centres. They also receive
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Fluent English (spoken and written) Publications at top-tier computer vision conference or journals is a plus Experience with open-source software development is a plus We offer A clear research topic as
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Reference Number AE2026-0036 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0036.pdf CALL FOR
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NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting
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, for application in monitoring meat freshness, using screen-printing techniques. To achieve this objective, the following tasks are proposed: i) Task 1: Development of a suitable ink for screen printing and its
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tackling the challenges associated with sustainable development and industrial competitiveness in the areas of “Health”, “Digital, Industry & Space”, “Climate, Energy and Mobility” and “Food, Bioeconomy
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on the development and characterization of different ionic liquids (ILs) or eutectic systems (ESs) (position 1) and metallic nanoparticles (MNPs) (position 2), which will be used respectively in the two positions
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studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how robots in clinical settings can communicate