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of data for calibration and optimization of the control parameters. The software will be developed to ensure its integration with the remaining modules of the pyramid system and to enable real-time data
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the attribution of one Research Scholarship within the scope of the research project TRANSFACTORY Transporter proteins for the optimization of microbial cell factories, reference COMPETE2030-FEDER-00750700-16345
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You
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which the grant is assigned, working within research projects. In particular, the research fellow will work within the field of optimization of transportation routes, intelligent transport and optimal
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. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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-dimensional plasmonic metasurfaces. The goal is to disentangle hot-carrier and thermal contributions and optimize metasurface designs for site-selective hot-carrier generation with minimal heating. The work
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the optimization of physicochemical parameters, such as diameter and colloidal stability, favoring the crossing of the blood-brain barrier. ∙ Functionalization and characterization of nanoparticles with surface
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. Workplan and objectives to be achieved: The work plan includes identifying and selecting oleaginous microorganisms with different lipid profiles suitable for application in cosmetics, and optimizing
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knowledge document in the area of organs‑on‑chips, biomicrofluidics, sensors, and CFD; Manufacturing and optimization of biomicrofluidic and organ‑on‑chip systems with electronic components; Execution
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to detect structural anomalies, predict maintenance needs, and optimize inspection schedules to ensure the safety and longevity of critical infrastructures. In a generic way, the candidate will address