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related discipline involving the interrogation of ‘omics’ datasets, or expected to obtain a degree in the near future. Solid skills in at least one programming language (R, python, or Perl) and experience
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expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with infants or young children is highly desirable. This will be a
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instruction, knowledge representation, retrieval and analysis, health professions diversity, public health informatics, health workforce projections, teaching and program evaluation and competencies for primary
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beyond what is stated in the Required Qualifications section. Skills: Alzheimer's Disease, Artificial Intelligence (AI), C (Programming Language), C++ Programming Language, Collaboration, Computer
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omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience working in Linux and/or high
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regression models (e.g., SAR, LME) to derive ecological insights from big data sets. The project entails developing reproducible and scalable methodologies, using common software and programming languages
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under supervision, with the goal of establishing an independent research program and career path. The postdoc will be based at the University of Washington – Seattle Campus. The preferred start date is
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, advanced imaging) to uncover the cellular and molecular programs that drive tissue regeneration. The fellow will have the opportunity to work with small animal models and clinical specimens, translating
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infant development. We seek a motivated researcher with expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with
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pulmonary vascular endothelial cells contributes to pulmonary vascular remodeling. Our current research program includes investigations into the role of hyperactive mTOR (mechanistic target of rapamycin) in