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of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and
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at https://www.destiny-phd.eu/destiny2 ). Don't forget to provide the video of yourself speaking (max of 3 minutes) at this link: https://extra.u-picardie.fr/nextcloud/index.php/s/RgAfTbcBBxJw9J6 . Where
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release by astrocytes, in vitro and in vivo. The person will be required to perform primary astrocyte cultures, transfect cells with viral particles, and analyze ATP release events using video microscopy
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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(mammalian cells and insect cells (SF9). The Tubulin Code team is part of the Institute of Human Genetics (UMR9002 of the CNRS) in Montpellier. The institute has state-of-the-art equipment and is associated
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disseminate these images (survey through qualitative interviews, use of video elicitation, etc.). The aim will therefore be to contribute to the analysis of the configurations of actors mobilized around
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to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Where to apply Website https://emploi.cnrs.fr
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Energy Transfer) - Genetic code expansion strategy to specifically label proteins - Image analysis - Programming - Wet lab activities (biochemistry, cell and molecular biology) Our group at the Center
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interface. - Deployment, compilation, and execution of the ECCO-Darwin model on the supercomputer - Numerical developments on the ECCO-Darwin model code - Analysis of numerical model outputs - Processing and
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the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible