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crack initiation and propagation; Development and validation of a digital twin with an appropriate level of maturity; Proposal and evaluation of new cluster architectures; Validation of optimized
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capable of predicting optimal PISA formulations and significantly reducing experimental screening efforts. The successful candidate will receive multidisciplinary training spanning polymer chemistry
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implemented to optimize real-time pathogen surveillance and support public health decision-making. Bioinformatics analysis of sequencing data (Nanopore) • Read filtering (quality, barcodes), demultiplexing
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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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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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desorption methods; Applying and optimizing a minimally intrusive vapor-phase isotopic exchange method (²H/¹H and/or ³H/¹H) to quantify the accessibility of reactive sites within insoluble organic matter
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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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(bbγγ) channels. In the classical HH(bbγγ) analysis, the H(γγ) channel is treated as a major background process for the di-Higgs channel. A joint analysis of both modes would optimize the overall
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optimization, thermodynamic properties) (optional). • Knowledge of analytical chemistry and techniques for characterizing elements in solution. • Interest in radiochemistry and working in a controlled
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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