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multimodal datasets. The goal is to generate predictive models that provide valuable causal and probabilistic insights into clinical and population health outcomes. In addition to technical research
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scientific rigor. No biomedical background required. Preferred: Experience in network inference, causal inference, network science, dynamical systems, systems science (e.g. systems biology), probabilistic
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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