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) lung injury. We employ complementary in vivo (mice) and in vitro (cell and tissue cultures) models to address mechanistic and translational questions in lung biology. My lab offers a unique situation for
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models. Education Requirement: PhD in a biomedical science-related field. Required Qualifications: Demonstrated expertise in: Platelet functional assays and leukocyte biology Thrombosis and Hemostasis in
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multimodal datasets including neuroimaging, behavioral, wearable, clinical, and longitudinal data • Develop analytic pipelines and statistical models for developmental and longitudinal neuroscience data
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knowledge of statistical and computational research methods (e.g., predictive/user modeling), cognition/affect tracking, measurement theory, analyzing high-frequency time series data, experience with
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misconduct investigation including but not limited to sexual misconduct in prior employment and provide a related release and will be subject to a criminal background and credential check. Education
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that the fellow will take ownership of a well-scoped research direction. Research activities may combine quantitative modeling and statistical analysis with literature synthesis, interviews, workshops, and other
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experiments and/or theoretical modeling of such experiments Desirable Qualifications: Experience spanning multiple areas listed above is preferred. Online Application Required Documents Curriculum Vita Name and
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. We integrate fieldwork, computational modeling, and laboratory experiments to improve understanding of subsurface systems. More information about the lab can be found at: https://sites.google.com/view
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(such as language, memory, or attention). Work will be performed using a combination of EEG, intracranial recordings (DBS, sEEG), TMS, fMRI, EMG, brain lesions, computational modeling, and other methods
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to surgery including cell-cell interaction prediction modeling as well as characterization of the surgically triggered “genomic storm” in human PBMCs and endothelial cells. The laboratory also has ongoing