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(CFI) comprises 20 researchers from the Mechanical Engineering and Chemical Process Engineering Dpts. The group has undertaken a considerable amount of research related to Additive Manufacturing (AM
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Técnico (IST) Duration: 3 months Maximum Duration Including Renewals: 4 months Objectives The main objective of this scholarship is to support the development and application of an optimization model
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to methanol. In the first phase, we will engineer PSI and redox enzymes for bioconjugation and optimize the self-assembly process. The stoichiometry will be optimized for efficient light driven reduction
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crucial for ensuring grid stability and economic operation in future high, medium transmission and low voltage power distribution networks. This integration introduces significant challenges in voltage and
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Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi
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and tentatively entitled "Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing", and will address
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optimize composite materials that can significantly enhance the efficiency of wastewater purification processes by leveraging the piezocatalytic phenomenon an emerging technology with great potential
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15th February 2026 Languages English English English PhD Research Fellow in Optimized monitoring of patients with primary adrenal insufficiency (DC1) at the Faculty of Medicine, University
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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment, working collaboratively with research and industry partners. You will work in