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Field
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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, etc.). Brief Description of Duties: The Senior Analyst is responsible for performing specialized analytical duties in the Office of the Provost using multiple reporting tools including SUNY BI, Tableau
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primary analyst/programmer on a next-generation REDCap-based project to orchestrate and manage multiple databases of scoring tables and algorithm implementation. Additionally, this project will work with
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods. (30
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of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability. Experience in scientific programming and the
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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, etc.). Brief Description of Duties: The Senior Analyst is responsible for performing specialized analytical duties in the Office of the Provost using multiple reporting tools including SUNY BI, Tableau
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value