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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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). The is also well-provisioned with computational resources and you will be able to carry out much of your routine work on our two new dedicated server machines (each 64 CPU cores, NVIDIA Tesla A30 GPU unit
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projects to the Tier 2 supercomputer Bede (32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high performance interconnect). The is also well-provisioned with computational resources and you
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computational resources and you will be able to carry out much of your routine work on our two new dedicated server machines (each 64 CPU cores, NVIDIA Tesla A30 GPU unit, 384GB RAM and over 24TB storage
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projects to the Tier 2 supercomputer Bede (32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high performance interconnect). The is also well-provisioned with computational resources and you
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16 Sep 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Country France Application
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RTDS. Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs). Excellent written and oral communication skills. Motivated self-starter with
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
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modeling, or ordinary/stochastic differential equations. Experience in computational, statistical, or machine learning method development in any discipline. Experience in GPU computing frameworks (e.g