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Field
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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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-motivation skills Strong foundation in CFD with proficiency in Python and AI/ML techniques, and additional experience in parallel computing tools such as CUDA and MPI Experienced with CFD simulation tools (e.g
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work will be carried out within the Laboratory
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-task and prioritize activities Conceptual knowledge of all and in-depth knowledge of some of the following: systems architectures, security, networking, storage systems, parallel computing, batch
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lead technician working with the life safety services. Maintains comprehensive records utilizing computer programs for all building alarm checks, supervisory panel checks, and alarm tests. Maintains
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of participating media. In parallel, neural networks will be designed to approximate the resulting radiation fields, enabling significant reductions in computation time without compromising accuracy. The developed
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structured program. The projects address the three “One Health” aspects: 1) human roundworm infections (close cooperation and fieldwork in Kenya/Africa), 2) roundworm infections in farm animals (chickens and
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Full Time Add to My Favorite Jobs Email this Job Job Summary #CA-PS Under the general guidance of the HPC Core Facility Director, and working in parallel with the Lead Administrator, the Lead Architect
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Jackson and other colleagues at the Edinburgh Parallel Computing Centre. Your work would combine software and technique development which a focus on the processing of voluminous point cloud datasets (> 100