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genetics (fly, mouse, or human) and/or experience studying sleep in mouse models are especially encouraged to apply. Mission Statement Michigan Medicine improves the health of patients, populations and
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. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling, semantic change, or related techniques. Broad interest in cultural evolution, cognitive
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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involves building and training deep-learning models for TEM image reconstruction and interpretation, linking image features to local chemistry, defects, and dynamic transformations under varying
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intelligence that coordinates the entire experimental ecosystem. The Postdoctoral Fellow will develop agentic AI models and frameworks for intelligent experimental workflows, which couple machine learning, real
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Observatory, and LSST. Expertise in modeling cosmological observables through analytical methods or numerical simulations, machine learning, statistical inference, and data reduction is beneficial. As members
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language models. Our main goal is to create a PL+AI system that is the best at verified program synthesis. We will use the verification-aware programming language Dafny and co-evolve an LLM and a discovery
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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data
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, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments to study the roles of microglia and oligodendrocytes in
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electrophysiology (single-unit, multi-unit, or related approaches) in animal models. Strong technical skills in setting up and troubleshooting complex experimental systems. Proficiency in programming and data