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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 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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, and eager to apply computational skills to cutting-edge biological questions. In this project, you will develop a tool to infer karyotypes from individual cells based on their transcriptome, and use
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. This will involve investigating techniques for model compression and efficient inference to enable on-board condition monitoring directly at the wind turbine, reducing data transmission requirements, central