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Field
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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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across model systems and human cohorts. Mentor junior lab members, including graduate students and research staff, and contribute to fostering a supportive and rigorous scientific environment. Present
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the maturation and degradation of eukaryotic mRNA and the rich variety of ncRNAs and the role of RNases in maintaining cellular homeostasis. Many of the lab’s studies use the model eukaryote budding yeast
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, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically defined differentiation protocols to generate
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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal
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genome-scale datasets, as well as proved expertise in their curation and analysis using state-of-the-art phylogenetics implementing phylodynamic models. Strong computational skills and programming
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. The Lab uses mouse models to investigate the functional organization of the gustatory and trigeminal nervous systems. Our studies aim to delineate molecular and neural circuit mechanisms that underlie
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effects, cryogenic behavior, XRD, Raman spectroscopies. Modeling of material and detector physics as it relates to observed phenomena, using COMSOL, MATLAB, or other software. Participate in experimental
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cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department