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Field
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climate modelling. Tasks will in general include implementing the model framework on the department HPC facilities, designing and running simulations, post-processing and analyzing model results, presenting
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, Matlab Preferred Qualifications: Experience in thermos-fluids in porous media. Experience in High-Performance Computing (HPC) on CPU or GPU platforms. Experience in mentoring of graduate and undergraduate
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of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and
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via HPC. · Strong writing, communication, and interpersonal skills, including a proven ability to work both independently and as part of a team. Special Conditions Posting Date 12/06/2023 Closing Date
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Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience with high-performance computing (HPC
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/TranSIESTA), or Molecular Dynamics (including hybrid QM/MM or ML-IP simulations) - Apply for computational resources in HPC facilities when needed. - Prepare periodic reports of the results and provide
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-cell sequencing) Prior experience working with spatial biology approaches, and early-adoption of cutting-edge technologies Prior experience working with Linux and high performance clusters (HPC) R/Python
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appreciated) Ability to handle large sequence datasets Experience of working in HPC environments Strong interest in molecular evolution Good written and oral communication skills in English Willingness to work
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for remote sensing data analysis.- Satellite image time series processing.- Oral and written communication in English and French. Savoir faire technique : - Working in Linux OS and HPC. - Advanced python