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(AMOC). The work will involve climate modeling, analyses of observational and GCM data, and analytical approaches. A PhD in physical oceanography, atmospheric sciences or related disciplines is required
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. The postdoctoral associate will join a diverse, interdisciplinary team committed to understanding brain-behavior relationships using data from both large-scale data initiatives (e.g., ABCD, UKB) and from curated
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Stimuli-responsive Traceless Engineering Platform (STEP) is a non-viral and non-nanoparticle based platform that is capable to penetrate to brain very efficiently. We have recently received a large NIH
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skills with some experience using complex, large-scale data (e.g., electronic health records) and a passion for deriving high-quality real-world evidence on medication safety/effectiveness, ideally in
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professional development. For more information about our lab and publications see our website: https://www.thelakelab.org/ Responsibilities Use bioinformatic tools to analyze large-scale genomics datasets
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socio-ecological data collected across New England in agroforestry transition sites hosted at Yale and partner institutions (UNH and Dartmouth), and practitioner locations. The position is funded for 3
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data management in low-resource settings (equitable, fair, provably privacy-preserving, carbon-aware federated learning which is robust to data shifts of imperfect interoperability and capable of large
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). Involvement in systems immunology analysis projects to identify and compare signatures is possible for interested candidates. The Kleinstein Lab (https://medicine.yale.edu/lab/kleinstein) pairs big data
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professional development. For more information about our lab, past publications, and our research see our website: https://www.thelakelab.org/ Responsibilities Design, plan, and perform research analyses