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. Experience with lignin functionalization, rubber composites, or polymer reinforcement agents. Proficiency in chemical characterization techniques (FTIR, NMR) and mechanical testing (e.g., tensile tests, DMA
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values, they allow the professional development of agents, who are real actors in a collective success, but also the development of the laboratory itself. The PhD candidate will work under the supervision
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The SiMul team (https://cran-simul.github.io) at the University of Lorraine is offering a fully funded PhD position on the theoretical foundations of self-supervised learning, focusing
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simulations under astrophysically relevant conditions will provide key insights into asymmetric photochemistry and post-irradiation alteration processes. Key references: i ) Ionizing radiation exposure
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projects related to magnonics, spintronics and magneto-acoustics. We are looking for a candidate with a strong motivation for experimental work, although simple modelling and numerical simulations are also
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students. It was heavily involved in various aspects of the experiment: analysis of the data collected by the prototype at CERN (ProtoDUNE), simulations and optimization of the neutrino event reconstruction
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states beyond 2 V to analyze the evolution of charge storage mechanisms. Six-month cycles of simulations and experimental validation will be alternated throughout the PhD to optimize experimental
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should include: Detailed Curriculum Vitae (provide links to work samples, e.g., on GitHub) A cover letter (max 1 page) Portfolio, writing and work samples (e.g., MSc thesis, journal article) Digital copy
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lead to innovative applications in future nanodevices. A central aspect of the project will involve finite-element simulation studies of ferroelectric materials, specifically analyzing the effects
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baking will be studied for comparison. d) Use finite element simulations to interpret the observed (thermally induced) modifications and real time data. The student will interact with a second student (to