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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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areas of nanoscience and nanotechnology. Job Title: Research Assistant - AI Optimisation for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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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 The Ph.D candidate will join a group of
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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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advantage. Experience in structural biology is an advantage. Experience in immune receptor immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with
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conducting population analyses on swans, geese, or other birds that exhibit deferred reproduction Advanced experience coding in R, including parallel computation using high-performance computing clusters
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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