15 parallel-computing-"Computer-Vision-Center" PhD positions at AALTO UNIVERSITY in Finland
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, exoplanets, and high-performance computing. Your network and team Home unit: Aalto University, Department of Computer Science (Otaniemi campus, Espoo), High‑Performance Computing Lab (Supervisor: Assoc
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, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
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community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an internationally-oriented
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-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard circuit simulation tools
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, Austria) — 3 months from around May 2029 (academic), with Ivona Brandić: combine the digital-twin models with the end-to-end energy models. The position requires: Master's degree in computer science
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Engineer in the <b>Center</b> for Interdisciplinary Data Science and Artificial Intelligence Abu Dhabi, United Arab Emirates Senior Strategic Advisor Camperdown, Australia Post-Doctoral Associate in the Division of Engineering (Electrical and <b>Computer</b> Engineering) Abu Dhabi, United Arab...
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contextual and behavioral cues to understand human actions, anticipate future behavior, and reason under uncertainty. The methodological scope includes machine learning, computer vision, multimodal
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engineering, communications engineering, signal processing, computer science, applied mathematics, or another closely related field A strong foundation in wireless communications, statistical signal
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evaluation of the additional losses in the variable-speed electric machines Requirements Eligible candidates should have Master’s degree in electrical engineering, computer science, materials sciences, or
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Wärtsilä's physical powertrain Testing and refining the torque estimation model for implementation in an embedded environment with limited computing capacity Skills we are looking for Please note that