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and to characterize the materials under CO2 capture relevant conditions in electrodialysis cells. The work spans materials synthesis and processing to device integration and electrochemical
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order to expedite the simulation, MagTense is based on a core implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs
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order to expedite the simulation, MagTense is based on a core implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs
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(and other thin shear) flows in particular, as well as on turbulence in general is highly beneficial Experience and proficiency with big data handling, parallel processing, GPUs (e.g. CODA) and analysis
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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beneficial Experience and proficiency with big data handling, parallel processing, GPUs (e.g. CODA) and analysis of extensive datasets is advantageous Experience with DaVis software and methods such as Shake
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing