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Field
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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Preparation of the Technological Infrastructure:Design, configure and optimize the hardware and software infrastructure necessary for the training, fine-tuning and deployment of LLMs on a large scale; Explore
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: Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment of capabilities such as AI training and inference at scale, and
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the temperature-dependent polarization of pyroelectric materials to measure absorbed dose in real time. The Fellow will optimize sensor materials and designs, refine calibration methods, and validate performance
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structures, including the use of finite element modelling and simulation tools. Experience with data-driven design optimization would be an asset; Direct hands-on experience in advanced composite manufacturing
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specifications. Design and development of urban mobility solutions: Usability, 3D modelling, structural analysis; optimization, integration and functional and performance testing. 6. Legislation and regulations
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or process optimization; and Experience in data collection, analysis, and processing. Assets: Experience using Python or another scientific programming language (e.g., MATLAB, R, Julia); Experience with
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types of disease and recommending optimal treatments for patients. The position will be supervised by Research Professors and will be conducted with experimental researchers who are collaborating partners
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-stakeholder collaboration across phases to improve decisions. Methods may include AI/ML (incl. LLMs), XR, robotics, simulation, optimization, or others that fit your research question. We welcome foundational
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, XPS, etc.) to confirm structural, morphological, and magnetic properties. Optimize synthesis routes for reproducibility, scalability, and performance tailored to target applications. Collaborate with