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Master's degree in Polymer Science. Team 1, entitled "Catalyses and polymerization engineering", is headed by Frédéric Peruch. The team develops alternative strategies for the synthesis of "tailor-made
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May 2024 Is the job funded through the EU Research Framework Programme? HE Reference Number 2024-R0234 Is the Job related to staff position within a Research Infrastructure? No Offer Description Main
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patients hospitalized in France at a national level using data from French health databases (SNDS). Applicants should have a Master or Engineering degree or PhD in Biostatistics or Bioinformatics
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of primary refrigerant fluid used while improving energy efficiency by storing and transporting energy dense secondary fluids. These ice slurries, made of ice crystals suspended in aqueous solution
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interdisciplinary in nature. This involves correlating the physical characteristics of the tags in close connection with the determination of the chiro-optical properties of the reflected wave. The principal
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individual control system, or the PDE can be used for analysis purposes [5]. The control designed at the PDE level is subsequently applied to the real system by discretizing it back to the original ODE system
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systems to ensure the compatibility with the ultra-high vacuum conditions of the storage rings. Finally, the candidate will participate to the supervision of PhD, master and undergraduate students. -Data
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characterization throughout all main characterization facilities available at the research team and for the further optimization process. - Preparation of supported metal on depleted uranium oxide catalysts
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Candidates motivated to work on this project are invited to apply for a PhD position (also master project + PhD) or an 18 month post doc position, immediately available. Postdoc candidates should
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 13 days ago
scientific community. Main missions: The main mission of the post-doc will be to design a static analysis approach to estimate the computational cost of a machine learning model implemented with a tensor