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Field
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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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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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accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental
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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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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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discrete optimization, demonstrated by at least one publication, is essential. Strong familiarity with stochastic optimization methodology, particularly sample average approximations and two-stage stochastic
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of seasonal pCO₂ cycles in the PISCES model by integrating observations from BGC-Argo floats. The approach will leverage data assimilation through a particle filter and ensemble-based parameter optimization
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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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at peer-reviewed venues and conferences. Example project areas Performance analysis and optimization of end-to-end scientific workflows, including those originating at DOE facilities. Operating persistent
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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