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skills, including generalized linear models, multiple machine‑learning algorithms, MOFA and multi‑omics pathway analysis. · Strong background in experimental design, quantitative data analysis, and
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The Foxman Laboratory at Yale School of Medicine is seeking postdoctoral scholars to lead two distinct funded projects. One project will focus on developing and using novel organotypic models
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be hired and paid by Yale, but will be expected to relocate to Columbia, SC for the duration of the position. The key aim of the project is to rethink and expand the range of institutional models we
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are emerging as potential levers to mitigate the effects of warming. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions
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associative learning. Using mouse models, fiber photometry, circuit-specific viral approaches, in vivo recordings, and a variety of behavioral assays, we investigate how infant brains encode maternal and social
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sodium-responsive regulatory pathways Development of cellular models relevant to neuronal biology and neuropsychiatric disorders Collaboration with computational biologists and RNA biochemists within
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: Comparative genomics RNA secondary structure prediction Covariance models and RNA homology search methods Machine learning or artificial intelligence applied to biological data Transcriptomics analysis methods
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that include mid-circuit measurements and feedforward Quantum simulation of many-body and lattice-gauge theory models Microscopic physics of Josephson junctions Other topics of mutual interest About the Yale
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. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions or removals from vegetated wetlands, coastal systems, and inland
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, leveraging state-of-the-art neuroimaging, biomarker development, and human experimental models to inform therapeutic development and evidence-based care. Principal Responsibilities: Researches and collects