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Field
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The Role and Department The Directorate of Advanced Research Computing (ARC) provides a broad computational capability to underpin and help define the nature of research and innovation that can be
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-technical stakeholders in cloud or large-scale computing environments. Experience with HPC environment or similar cloud services (e.g. AWS Parallel Cluster) is preferable Strong software development
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
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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 Part of the research engineer's
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(fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations
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paradigms, and distributed and parallel programming constructs. Minimum qualifications: A master’s degree or equivalent professional experience in Computer Science, Computer Engineering, or related fields Per
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the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09447 Requirements Skills/Qualifications Expected skills include Knowledge on distributed, parallel computing and numerical
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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languages (e.g. C/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical