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for environmental epidemiology (Epi, survival, sf, gstat, mgcv) and causal inference (dagitty, MatchIt), as well as contributing to reproducible, scalable data pipelines. Machine learning integration: Exploring ML
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causal inference (dagitty, MatchIt). Prospective study coordination: Managing recruitment, data collection, and clinical assessments for healthy volunteers, integrating wearable sensor data with
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for publication in leading international journals. Applicants should have a robust background in quantitative methods, including causal inference and econometric modeling, as well as familiarity with modern
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inference techniques (e.g., panel data econometrics, difference-in-differences, instrumental variables). Familiarity with modern data sources and tools such as large-scale firm-level data, text analysis
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): For computational approaches and high-throughput force inference. Prof. Vincent Pasque (Epigenetic Reprogramming): For expertise in stem cell biology and blastoid culture protocols. In addition to your
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advanced causal inference, robust counterfactual simulation, and protocol optimization analytics. Key tasks include developing emulation engines, establishing regulatory-grade validation pipelines, and
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problems. Provide expertise in modern ML methods, including deep learning, foundation models, multimodal data integration, generative AI, and simulation-based inference. Engage with VIB’s AI Studio
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biotechnological problems. Provide expertise in modern ML methods, including deep learning, foundation models, multimodal data integration, generative AI, and simulation-based inference. Engage with VIB’s AI Studio
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, such as Deep Learning inference and training, on cutting-edge heterogeneous processing systems. This can involve researching novel hardware-aware software acceleration techniques, such as targeting RISC-V
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that combines machine learning and knowledge-based inference. In real-world applications, it is often paramount to exploit expert knowledge for the task at hand. However, this poses significant challenges with