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synthesis method for high-entropy alloy nanoparticles (nano-HEAs) and evaluating their catalytic performance in CO₂ methanation, a key reaction for converting renewable energy into synthetic gas
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engineering is required with a background in the field of dielectric/insulating materials or high-voltage engineering. The strong experimental character of this proposal will require to apprehend and perform
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modeling frameworks, particularly global chemical transport models (e.g., GEOS-Chem). • Proficiency in scientific programming (Python required; Fortran/C++ desirable). • Understanding of high-performance
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, offering a stimulating and interdisciplinary environment. The main activities of the recruited candidate will include: • Performing molecular biology experiments (cloning, genome editing, etc.) • Performing
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water and likely to harbor a liquid ocean beneath their icy crust. The internal dynamics of these systems remain largely unknown, particularly the main sources of oceanic and heat movements, and the
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governing residual stress in biological tissues. High-performance computing clusters are available. The candidate should have a background in mechanical engineering, physics, or applied mathematics. The ideal
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is important to control their operating temperature and improve the dissipation of the heat generated during operation. The study is divided into 3 tasks : • task 1: the first task is devoted to a
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or equivalent, and ideally some experience with high-performance computing ⁃ Familiarity with marine seismology or hydro-acoustics ⁃ Strong scientific writing and oral communication skills, and proficiency in
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with high efficiency. Since 2017, these sources—enabling a significant expansion of the possibilities for optical quantum computing—have been commercialized internationally (Australia, Italy, Austria
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on published protocoles • Develop and validate live-cell imaging tools to track translation dynamics • Perform real-time imaging in regenerating axons • Study the role of specific factors in translation dynamics