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perfusion and mechanical stimulation in tumor tissues to investigate their poromechanical properties and optimize molecular transport within explants. The successful candidate will be involved in: - Designing
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fluorescence microscope optimized for imaging individual cells within microtumors. Through this work, the PhD candidate will receive hands-on training in the design, implementation, and optimization of a state
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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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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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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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(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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: • To design and optimize an electrolyzer that simultaneously promotes mass transfer, contaminant degradation, and gas recovery; • Study the influence of operating parameters (current density, reactor geometry