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Job Description Do you want to advance high-performance computing? Join the Embedded Systems Engineering section at DTU Compute and develop research on programming models, compilers, operating
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evaluation of converter and drive architectures for edge-resident intelligence; the development of advanced modulation, estimation and control algorithms for high-performance operation; and the
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solving security assessment and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging
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trade-offs between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also
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dynamos and connect them to exoplanet discovery and space‑weather environments. You will work in Aalto’s High‑Performance Computing Lab within the PEAS (Population of Exoplanets around Active Suns
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‑weather environments. You will work in Aalto’s High‑Performance Computing Lab within the PEAS (Population of Exoplanets around Active Suns) consortium alongside leading teams in stellar astrophysics
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open to work with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler
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support team that operates as part of a national platform providing high performance computing resources for academic researchers from all disciplines and regions of Canada. Your opportunity: SciNet is
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Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning . The successful candidate
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technology non-idealites make aIMC scalability to large scale generative AI models with high performance challenging. Your work will span device-to-algorithm co-design, focusing on state-of-the-art small