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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 2 months ago
, embeddings with transformers, training with flow matching) and high performance computing (e.g. handling large-scale parallel simulators, multi-node and GPU training on large supercomputers). When considering
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management, program details, communication needs and other details to make events successful. Job Description Primary Duties & Responsibilities: Oversees, manages, and provides assistance as needed for special
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Researcher Profile Other Profession Positions PhD Positions Country Portugal Application
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challenges. Preferred qualifications PhD degree in natural sciences, computer science, applied mathematics, or related field. Practical experience with optimizing software for HPC systems at scale, including
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Genetics; the PhD program commenced in in the Fall 2022 academic year and recruits up to seven students per year to the program. For more information, please visit https://www.utrgv.edu/cos/schools-and
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focus often neglects other dimensions of processes, such as the time between activities and the time required for specific steps, the spatial distribution of tasks across locations, or the intricate
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, hackathons, community events) Your Profile: Excellent Master or subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields and industry experience Strong software-engineering
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or