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, the numerical methodology developed during the project will be integrated into the cluster design process. Expected Outcomes Identification of critical thermal gradient thresholds; Definition of robust design
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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criteria Skills in experimental research are desirable. Knowledge of the scientific literature in numerical cognition and/or developmental psychology will be considered an advantage. A background in
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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim
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syntheses involving radioactive actinides, numerous experiments will be conducted using non-radioactive elements under similar conditions. The postdoctoral fellow will also be responsible for characterization
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motifs; - establish, optimize, and apply quantitative protein-interaction assays; - perform mammalian cell culture, molecular cloning, mutational analysis, recombinant protein work, and fluorescence
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will explore (Gd, Zr, La)-doped HfO₂ as a reference ferroelectric layer and optimize performance (memory window, multilevel writing, endurance) through the fine-tuning of thin films (interlayers
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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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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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: • 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