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Researchers. The research action Sustainable Wellbeing Across Lifespan (SWAN) (https://www.swan-helsinkiuni.net/ ) conducts cutting-edge research to promote health span by identifying individual risks and
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Researchers. The research action Sustainable Wellbeing Across Lifespan (SWAN) (https://www.swan-helsinkiuni.net/ ) conducts cutting-edge research to promote health span by identifying individual risks and
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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. Advanced proficiency in R and/or Python; experience with reproducible workflows (Git/GitHub, R Markdown/Quarto). Extensive experience working with large-scale longitudinal or multi-cohort datasets
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problems, scale solutions, and drive impact. Real Learning for Real Impact. To reinforce our team, we are looking for a Research Fellow: Natural scientist or engineer wanting to make a difference in
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expertise in infrasound signal processing to advance our multi-sensor atmospheric observation programme. About the Role: This position is an opportunity to join an active and forward-looking research team
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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biology, or other AI-related disciplines. The successful candidate will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data
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focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT