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Field
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essential for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic
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for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic fracture in HPDC
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, co‑producing agreed research outputs and mentoring sponsored research and placement students. Design, prepare and manage competitive research grant applications that align with agreed research
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academic research in metal additive manufacturing, with a focus on copper (Cu) and copper-based alloys. In this role you will be involved with the design, fabrication, and characterisation of advanced copper
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analytics, human-centred computing, and spatial environmental analytics. In this role, you will design next-generation interactive tools that help researchers and decision-makers explore complex trade-offs
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/or contribute to high-quality research projects within your area of expertise. You will undertake innovative research that makes a meaningful impact in your field and builds your recognition at a
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holder will be instrumental in (i) early user engagement to ensure a good understanding of mission goals, requirements, constraints and risks, (ii) bridging operations, concept, design, and requirements
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/or contribute to high-quality research projects within your area of expertise. You will undertake innovative research that makes a meaningful impact in your field and builds your recognition at a
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/or contribute to high-quality research projects within your area of expertise. You will undertake innovative research that makes a meaningful impact in your field and builds your recognition at a
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of the grant: Jacinto Paulo Simões Estima; Catarina Helena Branco Simões da Silva IV - Work Plan / Goals to be achieved: Title: Automatic Container Recognition in Dry Ports Summary description