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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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GPUs). Research Associate: Hold a PhD in high performance computing, computational fluid dynamics or a closely related discipline*, or equivalent research, industrial or commercial experience. Research
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farms using the wind farm simulator using a wide range of hardware (including CPUs and GPUs). What we are looking for: Research Associate: Hold a PhD in high performance computing, computational fluid
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of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field
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-watersheds in Itatinga close to the EucFlux site during the second phase of the project. In parallel, experiments will be run at the Ecotron (Ile de Paris) that will allow various levels boron application, as
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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may attach the documents Schedule: This position may require work beyond normal office hours and/or work on weekends Other: This position is grant funded Qualifications Required Education A PhD in any
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institution and they are allocated through recurrent internal calls). Preparation of scientific reports, journal articles and software documentation. Requirements: PhD in Physics, Materials Science, Chemistry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program is designed for candidates who have completed their PhD within the last two years and have experience as
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit