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), positron emission tomography (PET), functional MRI (fMRI), electroencephalography (EEG), behavior, genetics, and proteomics using advanced quantitative modeling techniques and artificial intelligence
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Position Summary Dr. Amargant-Riera’s research laboratory focuses on understanding the mechanisms that define oocyte quality. The lab uses mouse models and human samples to investigate
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative
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volcanism. Physical oceanography: analysis of surface gravity waves, infragravity waves, internal tides, and vortex-induced vibrations for estimating ocean current speeds. Acoustic ecology and ship noise
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking
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repair, oxidative stress, metabolic rewiring, and immune modulation in FLASH/UHDR-RT). Preclinical model development (orthotopic murine systems, patient-derived xenografts, 3D organoids). Correlative
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, graduate students and undergraduate students whose current activities include fundamental and applied aspects of quantum information science, simulations of dynamics and thermalization in quantum field
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(including Crohn’s disease and ulcerative colitis) using molecular and cell biology, multi-omics technologies, murine models, and human tissues. We currently have three major focuses: 1) Innate lymphoid cells
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, tumor immunology organotypic in-vitro models, genetically engineered animal models and human tissues from clinical trials. All these approaches are brought to bear on impactful questions in tumor
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experience in molecular and cellular neurobiology to study neuronal regeneration and preservation in retinal mouse models of injury and disease. This project will examine how cellular metabolism impacts