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molecular model-ing studies at varying levels of precision: • using force field (MF) modeling for interaction models between the target enzyme and different substrates; • using Quantum/Classical Mixed Method
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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for theoretical descriptions of stress correlations in polymeric liquids. The aim of this project is to extend the analysis method of viscoelasticity, devised in [6] and based upon collective spatio-temporal stress
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Information Eligibility criteria • PhD in condensed matter physics, materials science, or a related field; • Strong knowledge of thin-film growth techniques (PLD, MBE, or similar methods); • Experience in
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) technique is able to map dyes in fonction of their fluorescence lifetime. Moreover, « time gated » method, discard the majority of off target signals by introducing a delay between the excitation and the
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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with laboratory-scale experiments using breakthrough curves. - Activity 3: Supervise and guide Masters and PhD students working on reactive transport and similar topics. - Activity 4: Participate in
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. Sci. 24, (2020). (3) Borbély, A., Aoufi, A. & Becht, D. X-ray methods for strain energy evaluation of dislocated crystals. J. Appl. Cryst. 56, 254 (2023). The recruited person will be part of the ANR
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). -Establish clear correlations between formulation, processing methods, and final foam performance. -Collaborate with academic and industrial partners within the framework of an ANR Industrial Chair (SPACE-MAT
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defined based on your profile and skills, ensuring a strong fit with the project's needs and your own expertise. As a key collaborator, you will work alongside me and two PhD students, taking the lead on