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Field
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the research team; contributing to the optimization of the investigated enhancement geometries; disseminating research outcomes through publications in leading international journals and presentations
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to the lab's research aimed at understanding how polyploid cells regulate their optimal size while maintaining their function. This effort is part of the lab's broader project to study ploidy transitions
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and 3D finite element modelling (COMSOL, CST) of the optical control process for materials. -Integration of the optimal compositions into simple test structures to directly evaluate electrical switching
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methodologies, the study of associated reaction mechanisms, and the optimization of reaction conditions. The researcher will contribute to the development of new synthetic methodologies based on photocatalysis
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from annotated subglacial bedforms; (iii) designing, training, optimizing and assessing deep-learning detection/segmentation models; (iv) producing a database of outlines and morphometric parameters
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of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
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, and optimizing cleanroom-based micro- and nanofabrication processes dedicated to the fabrication of these MEAs; Integrating the developed bioelectronic devices into microfluidic organ-on-chip platforms
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on titanium. Preparation, activation, and functionalization of titanium surfaces or discs. Development of simple deposition protocols in aqueous media and optimization of experimental conditions
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to several aspects of the project, including: -design, development and validation of experimental optical microscopy setups -modelling and optimization of experimental parameters -adaptation and further
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experimental trials on metal additive manufacturing processes - Ability to design and execute experimental plans (DoE) for process investigation and optimization - Ability to acquire, process, and analyze