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interaction models to thermal boundary layers requires collaborating with the PhD student, who will undertake direct numerical simulations (DNS) using in-house codes to analyse heat transfer enhancement under
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amino acids, encoded by small open reading frames (smORFs). Until recently, these smORFs were thought to be non-coding because of their size. However, thousands of translated smORFs have now been
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the models developed and identify the main technical obstacles to be overcome for future industrial implementation. 7. Improvement of the internal code for simulating thermodynamic cycles. The existing
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adapted to the probing of these volatile components. Computation using the DEW (Deep Earth Water) code is mandatory. For each equipment, we have topnotch technical support at ISTO as well as in
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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candidate will use the 'Phase_Field' code developed within the GPM UMR 6634 modeling team. - Writing of scientific publications. GPM (Materials Physics Group, UMR CNRS 6634) is organized in 5 departments
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. Activities: Development of mathematical models. Development of probabilistic inference algorithms. Code implementation, with a particular focus in Julia. Method validation. Application of models on curated
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pumping Expected skills: - degree in Physics and Master's degree, awarded at the latest by the starting - an excellent academic record and strong motivation - good practical and coding skills, a commitment
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be open, transparent, and merit-based, fully aligned with the Code of Conduct for the Recruitment of Researchers. The selection will be based on the quality of applications and gender balance will also
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. • Demonstrated skills in bioinformatic and statistical analyses of microbiome and ecological data including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance