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, turbulence, CFD, numerical methods, and turbulent combustion. • Proficiency in HPC environments (parallel computing on CPU/GPU systems) • Demonstrated publication record in reputable journals/conferences
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positions are closely linked, and candidates will have the opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger
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Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
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opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger project “Bringing the wild into the lab with Virtual Reality
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 24 days ago
source tools (preferably Julia or Python), · advantage: publishing activities, including presentations of results to stakeholders and/or experience with parallel programming and machine learning / AI
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world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D
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-solving, and collaborative mindset Highly desirable Experience with distributed training or ML systems Knowledge of privacy-enhancing technologies and parallel programming Experience with multilingual AI
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-holder will also optimise human DRG cultures and perform electrophysiological and functional characterisation. In parallel, the post holder will use the newly developed human induced pluripotent stem-cell
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in nematodes. Much of our work now focuses on the evolution of egg-laying behaviour and the transitions to viviparity. In parallel, we are also interested in characterizing the natural history, ecology
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environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming