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be research, data analysis, drafting and publishing research articles, and other scholarly outcomes that arise from a four-year project that uses temporal embeddings of large, heterogeneous scientific
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EHR data processing, data queries, and dashboards Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large Language Model (LLM
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) Names of 3 references, their affiliations, and contact information Applicants selected for an interview will be contacted via email. The interview process will consist of an initial 30-45 minute screening
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benchmarking advanced AI/DL architectures (e.g., physically-informed AI/DL models, state-space models, spatiotemporal transformers, diffusion models, foundation models and/or Large Language Processing Models
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queries, and dashboards Familiarity with (biomedical) image processing Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large
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related to specific proposals, or general models, for architectural propositions addressing an area of interest to the fellow and of concern to the field at large. Project Projects centered
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, complex hydrodynamics and hydroacoustics, data assimilation and multi-disciplinary optimization, and autonomy. We seek talented, motivated postdoctoral applicants from all areas of engineering, math
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profession. Work at Michigan and become a victor for the greater good. Responsibilities* Support the organization and annotation for our large scale genetic and genomic data cohort Quality-check biomedical