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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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on software-related developments, including: - Development and automation of test and monitoring software - Data acquisition and analysis including interfacing with databases - Monitoring of the quality
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-Marseille Université (AMU), CNRS and Centrale Marseille (ECM). The LMA employs around 110 people, including 70 permanent staff and some 40 PhD students/post-doctoral researcher. The LMA has nationally and
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that couples high‑performance computing with instrumental platforms integrated in the UPPA‑Tech network. Five platforms are directly supported by IPREM: POLYCaTS (polymer analysis and characterisation
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in
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communication in different navigation contexts and different types of flows. The successful candidate will be supervised by Aurore Loisy. They will join a multidisciplinary team of researchers and PhD students
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- The candidate must hold a PhD in theoretical chemistry or physics. - expertise in quantum chemistry and ab initio molecular dynamics, quantum dynamics if possible - be able to program and script in a language of
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systems. In particular, highly functional flexible electrochromic (EC) systems involving the integration of several active materials (metal oxides, electrolytes, network of metal nanowires used as
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of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in materials science or inorganic chemistry. Prior experience in synthesis under inert atmosphere using
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well as optical measurements on the platform's other instruments (infrared photoluminescence, Raman). *Development for operando and in-situ measurements, both hardware and software. *Perform data analysis