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Field
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operations. Building and applying foundation models and surrogate models to speed analysis and optimize performance. Designing and maintaining digital twins of fusion devices, including autonomous control
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detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening modalities The fellow will have opportunities to lead analyses within
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optimization. Focus on AI-assisted secure IC design, with domain adapted LLM, ML in front-end design, simulation tools for chiplet-based/oriented prototypes Investigate and apply AI principles for IC design, RTL
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will work at the interface of first-principles theory (e.g., DFT) and reactive force field modeling (e.g., ReaxFF), developing multiscale, high-throughput workflows that simulate and optimize growth
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Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental studies that advance new 5G features and use cases. Key Responsibilities Operate and maintain
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the award of 1 (one) Research Grant within the scope of the I&D project Mod3DConstruction: 3D printing in the prefabrication of customizable thermally optimized modular façade panels, reference no. 14927, co
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applications. To verify the potential of thousands of materials optimal for clean energy technologies by synthesizing, analyzing and optimizing the characteristics of the materials experimentally will demand
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opportunities to investigate planning and optimization of sensor placement, human-robot interaction, operation in winter and arctic conditions, as well as use of communication nodes in addition to the sensor
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is required to have a PhD in operations research, mathematics, computer science or a related area. Experience in discrete optimization, demonstrated by at least one publication, is essential. Strong
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Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR/clinical trial data Additional Qualifications: With this appointment, you are