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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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. This opportunity will involve working on an NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult
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. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a
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thermal signals with high sensitivity and nanoscale spatial resolution, opening access to biophysical structure and dynamics that are difficult or impossible to reach with conventional techniques
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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that matter to society and impact the Maine economy. Postdocs will receive formal and structured mentoring on topics including mentor/mentee research relationship, technology transfer, and proposal development
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on the development of continuum and discrete, stochastic mechanical models of ordered cellular structures and understanding the role of order in pattern formation. The project is in close collaboration with
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field. Strong candidates will have a track record of research in peptide quantification and analysis (LC-MS/MS, HPLC, or equivalent), experience studying peptide-immune cell interactions, microbiome
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, Cell and Molecular Biology, Biology or a related field. Strong candidates will have a track record of research in rodent behavioral testing, proficiency in CNS analysis, including histology of brain
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track record of research in rodent behavioral testing, proficiency in CNS analysis, including histology of brain sections, demonstrated skill in stereotaxic injections, human cerebral organoid models, use