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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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in statistical network modeling, with applications in health and social science data. The scholar will have an opportunity to collaborate with other researchers, and mentor graduate and undergraduate
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IAQ. Designing and conducting energy, IAQ, and economic simulations of novel control systems. Aggregating, synthesizing, and interpreting HVAC system data from field sites. Developing data-driven models
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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of mammalian brains using mice as an animal model. Three main lines of research include 1) the brain-wide mapping of brain cell types including GABAergic neurons, glia, and cerebrovascular network, 2) anatomical
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focuses are: 1) Investigating the underlying molecular mechanisms by which 3D genome topology controls the hematopoietic transcription program and lineage differentiation in normal and malignant
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) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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skills, and a detail-oriented work style. Applicants must have a Ph.D. or equivalent doctorate in an appropriate field (Gut Microbiome, Immunology, Microbiology, Nutrition, Quantitative and Computational