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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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background. The ideal candidate will have existing expertise in several of the following areas, aligned with our research focus: 1) Causal inference, invariant learning and representation learning
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computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral fellow will contribute to projects focused on: Foundation and representation learning
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of academic-year fellows and periodic surveys of alumni, and incorporate findings into program design. External Representation, Partnerships, and Advancement Work with Communications and External Relations
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Experience & Skills Requirements Export knowledge of R or SAS Additional Qualifications Preferred Qualifications Excellent writing skills Strong team player with the ability to communicate effectively Ability
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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of the MHFAL lab is focused on the generation of knowledge and its effective utilization with the goal of contributing to the reduction of the global burden of suffering from mental health problems through
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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Qualifications Education Requirements A doctoral degree in epidemiology, statistics, computer science, or a relative quantitative field Experience & Skills Requirements Export knowledge of R or SAS Postdoctoral
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experience with airborne field campaigns and/or measurements conducted in aircraft-based research environments. Knowledge of stratospheric chemistry, including processes affecting stratospheric ozone, is