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Field
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at optimizing performance and stability for use in automotive vehicles and modular construction solutions; Support in the development of prototypes at laboratory level of electrochromic cells, implementing
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advanced artificial intelligence / machine learning (AI/ML) solutions for fusion science and operations. Building and applying foundation models and surrogate models to speed analysis and optimize
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leaders in their field. We provide an optimal combination of high advanced imaging volume, variety of cases, experience with protocoling, academic and research time, to produce very skilled, well-rounded
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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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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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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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/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 3 months ago
a high-performance MPC prototype adapted to medical constraints. Key tasks include: Optimizing the illumination and detection systems, along with associated optics, to maximize signal-to-noise ratio
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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