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/agronomy interface. # Interact with industrial partners (MEDISO, RS2D) for sequence optimization and integration of methodological developments. # Contribute to the creation of a sustainable software library
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possible sounding capabilities with current laser-produced sources, and (2) implementing experiments to test the predictions of these calculations and optimize the sources. The missions follow these lines
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- Solid knowledge of existing literature in optimization and/or symbolic computation - Strong skills in programming with scientific and/or symbolic computing tools Website for additional job details https
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D
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under periodic conditions. SOC and excited-state geometry optimizations will help identify ISC/RISC probabilities and the specific components involved. These insights will clarify how each molecular
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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human cells and tissues. 1. Perform research, from experimental design and implementation to the writing of results: • Analyse the scientific literature for the project. • Design and optimize DNA
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. This is only possible thanks to the involvement of the Univ-Lille partner, which is developing these highly optimized data structures and partners (Paris-Saclay Univ) with a solid expertise in exploiting
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(cholesterol esters) and proteins; in particular, the person recruited will be responsible for optimizing the parameters for neutral lipids. • Develop and implement new methodologies for analyzing molecular