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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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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
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optimize healthcare specific paid media campaigns across Google Ads, Meta Ads (Facebook/Instagram), and other performance marketing platforms. The ideal candidate will have 3+ years of experience with a Mar
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optimize healthcare specific paid media campaigns across Google Ads, Meta Ads (Facebook/Instagram), and other performance marketing platforms. The ideal candidate will have 3+ years of experience with a Mar
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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 around optical-based communications, including channel modeling, optimization of transmission and reception, network-based design, and evaluation Design and develop network layer and meta-MAC layer
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strategies, managing campaigns across all channels (SEM, Programmatic, Video, Display, Social Media, etc.), analyzing and optimizing performance, maximizing budget efficiency, and supporting lead generation
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Meta/Facebook, AI and Systems Position ID: Meta/Facebook -AI and Systems -RESEARCH [#29126] Position Title: Position Type: Government or industry Position Location: Menlo Park, California 94025
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
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hyperparameter optimization, meta-learning, and adversarial training. The general bilevel problem can be written as: min F (x, y∗(x)) where y∗(x) = arg min f (x, y), d