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Details Title Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position
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portfolio, create synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https
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Fellowship in Computer Science in Amin lab Prof. Nada Amin is looking for a postdoctoral fellow, who will be mentored by her at Harvard SEAS. The goal is to develop new training and inference approaches
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responsible for developing and leading analytical causal inference analyses in international collaborative projects, such as the FEP-CAUSAL and BD-CAUSAL Collaborations. The postdoctoral research fellow will
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synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https://causalab.sph.harvard.edu
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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to articulate a growing research portfolio, create synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please
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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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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g