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that demonstrably accelerate scientific discovery. Architect and operate federated and collaborative learning experiments spanning multiple sites (national labs, universities, industry) with secure aggregation
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enhance human-computer interaction and improve our understanding of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU
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the university's research priorities and technological advancements. Performance Optimization: Analyze and optimize the performance of AI models and HPC applications focusing on GPU-enabled computing. Implement
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and high flexibility in where and when you work. Access to HPC resources (including GPU clusters) at Helmholtz, the Leibniz Supercomputing Centre (LRZ), and the Forschungszentrum Jülich (FZJ). Training
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
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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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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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, mathematical sciences, or applied mathematics/engineering, and who are motivated to engage in AI research in earnest. We also welcome applicants with the following experience: - Operation and use of GPU-based
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related to developing, securing, or using AI chips and workloads, from edge devices to data centers. Topics of interest include, but are not limited to, GPUs, FPGAs, custom accelerators, protecting model IP
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opportunities, access to modern GPU clusters for deep learning research, and strong academic-industry connections. CADIA's commitment to open science aligns perfectly with this project's goals of creating