390 algorithm-"Multiple"-"U.S"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" positions
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responsibilities, overseeing complex or multiple research projects and providing strategic direction. This professional-level role involves mentoring junior researchers, managing project budgets, and ensuring
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, perform data cleaning. Develop machine learning algorithms, natural language processing tools, and end user tools. Develop and interpret MCMC models; develop meta-models. Analyze epidemiologic and
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and implements dynamic models, including machine learning algorithms, to optimize student-centered outcomes. Creates clear and actionable visualizations and dashboards using tools such as Power BI
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countermeasures. The successful applicant will work closely with collaborators and co-investigators across multiple schools within SET on theoretical and algorithm development and implementation, assist
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operates with significant independence while collaborating with cross-functional teams, managing multiple complex projects simultaneously, and providing technical leadership to junior developers. This role
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well as an integral member of the AI Lab and the research community it supports. You will work with a diverse group of faculty, postdocs, and students from multiple disciplines. If you are passionate about advancing AI
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. - Experience using ETL processes, APIs, or custom scripts for academic applications. · Experience with machine learning algorithms and predictive modeling. · Familiarity with statistical methods (e.g
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals