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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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resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https
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MSCA Doctoral Network ( https://www.elevate-dn.eu/ ) and co-supervised by our partners at the university of Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning
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( ABD ) status will also be considered (Degree Conferral in Process) Certifications/Licenses Required Knowledge, Skills, and Abilities Experience in GPU programming Experience working in interdisciplinary
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Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: November 1, 2026 Group or Departmental Website: https://med.stanford.edu/s-spire.html (link is external
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performance engineering for mobile, AR, or MR platforms, including GPU/CPU profiling, memory bandwidth constraints, and rendering optimisation for large-scale spatial or simulation data Familiarity with
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academic team and opportunities to work with world-class researchers • Access to state-of-the-art computing infrastructure (Swiss AI large scale GPU cluster) • Opportunities to publish at top-tier
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; while they are trained using GPU-based optimization methods, the actual information processing takes place without a GPU, making them energy-efficient and fast. Diffractive networks are to be designed
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collaborative workspace. Additional information about the department and its facilities can be found at https://aerospace.illinois.edu/ . Our faculty and students are affiliated with and have access to
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programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning models on GPU-based systems; familiarity with HPC