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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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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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, 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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understanding and enable the optimization of catalysts and experimental conditions. More specifically, the student selected for this position will be tasked with mapping the MHAT reactions of alkenes by
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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of Cognitive Engineering and Decision Making, Volume 17, Issue 1, 2022. [2] A. Muzahid et al. “Survey on Human-Vehicle Interactions and AI Collaboration for Optimal Decision-Making in Automated Driving”, arXiv
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dilution refrigerators. • Implement and optimize multiplexed cryogenic control and readout schemes developed within the PEPR PREQUILE program. • Interface cryogenic control electronics with quantum device
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lattices. • Implement and optimize RF reflectometry and dispersive sensing techniques for the measurement of complex admittance and charge susceptibility. • Design, characterize and improve microwave
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characterization and iterative optimization to enhance device performance. The ICube Laboratory (UMR 7357) is a joint research unit under the supervision of the CNRS, the University of Strasbourg, and INSA