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secondary large datasets. Topics include analyzing disparities in resource distribution, recovery and health burdens. If selected, you will be mentored by Dr. Jalonne L. White-Newsome and will work closely
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will work with Dr. Baladandayuthapani and his research group in developing statistical and computational methods for large-scale, high-dimensional, complex-structured biomedical data. The research topics
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Apply Now How to Apply Please email the following to Kowalski.postdoc.hiring@umich.edu : Cover letter, including interest in collaboration CV, including names and contact information
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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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to link behavioral, physiological, and immunological data in both healthy and clinical populations (e.g., patients with cancer). In addition to ongoing data collection, the PI has multiple large, PNI
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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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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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, data assimilation and multi-disciplinary optimization, and autonomy. We seek talented, motivated postdoctoral applicants from all areas of engineering, math, physics, computer science and other relevant