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, conducting performance assessments and benchmarking case studies, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https://shareing-dri.github.io
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to take a full range of routine and complex digital intraoral and extraoral radiographs, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid
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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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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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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
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the state. In partnership with UC San Francisco, UC Merced has launched a rigorous medical education program that will supply the Valley with culturally competent providers dedicated to improving local access
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University of California, San Francisco | San Francisco, California | United States | about 8 hours ago
on of effective approaches. This specialist may be required to utilize the elasticity of the AWS Cloud for Big Data Intensive (e.g. Hadoop/Spark) compute infrastructure and parallel system environment
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops
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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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Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel & Distributed, Computing/Learning Control Systems Optimization Planning and Scheduling Human