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POSITION We are seeking a highly motivated casual/temp researcher who will assist in the scanning of hearts and creating 3D models of the cardiac conduction system. These models will be used for virtual
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time reporting, incentive calculation and communication). Data Integrity Conducts validation checks, access controls, regular backups, and audits. Resolves data and analytic errors. Refines all
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or more of the following: ● Experience with urban watershed modeling or lake systems modeling ● Experience with limnological or aquatic field methods ● Experience with statistical methods for making
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financial modeling and assessments, and provide creative and proactive financial guidance and advice to senior leadership. Work closely with CLA Human Resources’ (HR) leadership to align fiscal and HR
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linear model (GLM) and regression approaches to analyze task-based fMRI data and contribute to the development of task-based pipelines using the NiPype environment, FSL, and AFNI. Support the use
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methodologies for industry standard networking equipment - Familiarity with network protocols across the OSI 7-layer model - Ability to collaborate and maintain respectful relationships with faculty, staff, and
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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++, Java). Please provide links to samples of your code (preferable on Github). - Familiar with at least one from each of the two skill categories: 1) Statistical: (i) Machine learning/AI models, e.g
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comparative pathology and animal models of aging, and exposure to research on the biology of aging and at the interface of aging with cancer. After completion of the residency program, qualified individuals
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for gene targeted and high throughput genomic assays in the mouse model of TB. This will include basic techniques in molecular biology and cloning. Research focus will include immunologic studies