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an individual with strong theoretical and modeling skills, with a strong background in using satellite data to construct predictive models that allow the early detection of tree diseases from space. The research
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depending on PI funding outcomes. 75% - Research about Beavers and Beaver Mimicry in the North America - Utilize beaver occupancy models, as well as performing QA/QC on AI beaver identification model outputs
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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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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the pathologic mechanisms for Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) using cellular and transgenic mouse models. The candidate will assist the Principal Investigator by performing duties related
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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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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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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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++, 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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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