667 coding-"https:"-"Prof"-"CMU-Portugal-Program---FCT" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at CNRS
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of these cycles on energy, water, and carbon exchanges at the interface with the atmosphere. The tasks of the position will be (1) to process NDVI time series provided by UCL as part of the ESA CCI Medium
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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
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modeling - Coalescent modeling - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results -Integration within the BioDiv team at IBENS - Availability of work station, computer
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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With the increasing complexity of numerical simulation codes, new
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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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existing hydrodynamic code to simulate experiments from the literature, implement and improve multi-phase behaviour laws to optimise their predictive capabilities, and carry out new laser shock experiments
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(M/F) will work within the LUPM. The research fellow (M/F) recruited will be eligible for training and support when taking up their duties. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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properties of the subsoil between day and night, the "U-shape" profiles and the collaboration with a set of unique instruments (Ma_Miss, PanCam and CLUPI). - use the processing codes developed for WISDOM
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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