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Field
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as well as RNA processing mechanisms in bone regeneration, and to define molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Research
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for state-of-the-art high performance computing architectures. Study the dynamics and properties of lattice models of nonequilibrium quantum materials using innovative computational techniques. Collaborate
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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including bacterial colonization assays, motility measurements, and barrier integrity assessments. Generates and characterizes CRISPR-edited C. elegans strains modeling human IBD risk alleles. Collaborates
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modeling and animal modeling. We also collaborate with a number of other groups within the Stanford Cardiovascular Institute, Department of Microbiology & Immunology, and Division of Oncology/Stanford Cancer
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE observations of greenhouse and ozone-depleting gases using models, measurements, and inverse
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and reptiles. We focus on using a combination of decision analysis, quantitative modeling of empirical data, and predictive modeling and forecasting. Examples of projects that the postdoctoral
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, climate scientists, and modelers to create and improve a digital twin framework that uses emulators to better represent ocean mixing and forcing; and working will contribute to next-generation ECCO
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research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly experienced in mentoring
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mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly