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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital
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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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Summary We are developing cutting-edge analysis methods in the areas of multi-omics data integration, pathway analysis, subtype discovery, clinical trial optimization, and meta-analysis. Our group
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slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is the development of meta-optimization techniques that can automatically search
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strategies across digital and traditional platforms, working closely with the Director of Marketing Execute paid and organic social media campaigns using Meta Ads Manager and similar tools, optimizing reach
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risks and delays and quality standards Plan, execute, and optimize digital ad campaigns, making strategic decisions on targeting and spend distribution on platforms such as Meta and Google in line with
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an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex
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subnetwork identification. Frontiers in genetics, 10, 155. 2. Corrêa, L., Pallez, D., Tichit, L., Soriani, O., & Pasquier, C. (2019, December). Population-based meta-heuristic for active modules identification
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Execute digital advertising campaigns across Google Ads, Meta Ads, and other paid media platforms. Work with team members to implement 12-month paid media plans. Monitor campaign performance
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Research Engineer in optimization and Design Space Exploration for Next-Generation Computing Systems H/F IN SUMMARY, WHAT DO WE OFFER YOU? We are looking for an Research Engineer in optimization and