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global CO₂ emissions, largely due to its dependence on clinker—the key constituent of conventional cement. To accelerate the decarbonization of construction materials, the C-Sink Project (funded under
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Job description The cement industry is a major contributor to global CO₂ emissions, largely due to its dependence on clinker—the key constituent of conventional cement. To accelerate
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for collaboration, critical analysis, reflection, and learning.
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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social, ecological and technological system (SETS) elements that make up the urban metabolism of the PoA. The research will be carried out in co-development with stakeholders in the port area. It will
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perceptions within the context of the broader social, ecological and technological system (SETS) elements that make up the urban metabolism of the PoA. The research will be carried out in co-development with
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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired
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techniques and metrics to assess system cyber posture and resilience throughout system development and operational lifecycles; Developing techniques for context-aware conciliation of software component
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in every aspect of breast cancer image interpretation in screening, including AI, image analysis, image display, and workflow. Tasks will consist of setting up and aiding in the execution of a