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Field
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) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure
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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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Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you
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Date 4 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A
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relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc. software and parallel computing is required. Skills in data processing and visualizing the results
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29 Aug 2025 Job Information Organisation/Company CNRS Department Centre de Recherche En Acquisition et Traitement de l'Image pour la Santé Research Field Engineering Computer science Mathematics
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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factors: The research grant will be awarded preferably to a candidate that demonstrates: strong expertise in parallel architectures experience with real-world computational patterns and their mapping onto
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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. Additional Knowledge and Professional Experience Experience with high-performance computing (HPC) environments and parallel programming (e.g., MPI, OpenMP). Experience with the management and analysis of large