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on the ONR Project “Optimal Transport-based Strategies in Waves and Dynamics” led by Prof. Christina Frederick at NJIT. Essential functions will include research into optimal transport theory to capture
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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from Marrakech. Department: Green Tech Institute (GTI) Position Identification Job Title: Logistics Optimization and Environmental Resilience & Sustainability Integration Officer – JORF-Lasfar Entities
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planning and operations, and the interaction with other infrastructures. Some of these tools will require the development of underlying optimization methodologies and analytics frameworks. The successful
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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, and optimization of inorganic materials for various sustainable energy processes. We work diligently to contribute to the competitiveness of Moroccan and African companies by conducting research across
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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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on creating and optimizing state-of-charge (SOC) and state-of-health (SOH) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in