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lakes and their watershed at centennial to millennial time scales. In particular, we are interested in how changes in climate and land use affect the C cycling in watersheds, and through changes in
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the development of efficient algorithms and codes for multilinear algebra, with a particular focus on the use of innovative parallel programming models and tools. In the context of this task and as part of the Exa
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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of structure, dynamics and function. The groups use approaches from cell biology and biochemistry in combination with structural biology. The MMSB hosts 11 different research groups, totalling more than 90
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-doctoral researchers in the team, as well as with the European partners in the project. The candidate (M/F) will be offered a fixed-term employment contract established by the CNRS. Working conditions
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matter gravity simulators, enabling the identification of exotic properties of relativistic materials. Use of various theoretical methods to study the effects of field theory properties in curved spacetime
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, including the development of a unique training approach for HL-LHC and SKAO staff focusing on the use of large scale cyber-infrastructures, supported by SLICES-RI, as well as enhanced interactions with
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characterization of C and SiC fibers - Training on bench use (in particular heating techniques by Joule effect, laser diffraction, infrared imaging, pyrometry, preparation of micrometric samples, ...) - Technical
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ultrafast processes involved in LWFA. You will use the PIC code Smilei to model short time-scale phenomena (plasma ionization, initial heating, and LWFA dynamics within the formed channel). You will also
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
. Use of digital earthquake models; The code used for calculations is written in Fortran, and the tools for processing input and output data are written in MATLAB and Python. The postdoctoral researcher's