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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | about 2 months ago
Selection process cv covering letter letter of recommendation (if applicable) transcripts and rankings of Master's years (or equivalent) Website for additional job details https://jobs.inria.fr/public/classic
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simulation : Aspen HYSYS/Plus. • Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. • Life Cycle Assessment (LCA): experience with, e.g., Brightway2/SimaPro/Activity
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fuel Recycling processes (ISEC/DMRC), which is leading the PREPAC project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5257-STESZE-004/Candidater.aspx Requirements Research
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are considered beneficial. Who we are looking for PhD in biosciences or a related field, with postdoctoral experience. Proven track record and hands-on expertise with omics technologies and sample processing
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partner) — applying these methods to real planning processes, data systems, and production settings. The successful candidate will be co-supervised by Dr. Engin Topan. In high-mix, low-volume manufacturing
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processes, sensors and tautomeric controlled drug design, headed by Professor Liudmil Antonov. It consists 3 subdivisions, namely "Fundamental aspects of the tautomerism", "Exploiting excited state
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with total six partners one goal is the optimization of the MOCVD process of Ga2 O3 layers. The process will be developed for a recently installed AIXTRON showerhead reactor and will be supported by
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inks, based on nanostructured and/or bidimensional materials. The research will investigate different formulations and preparation methods to optimize electrical and mechanical properties under various
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wearable devices. The overall objective is to define the optimal range of tissue cortisol. About the project/work tasks: The project includes: A case–control study collecting omics data reflecting
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knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization