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Field
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quantum/classical algorithm for the description of collisional energy transfer, with focus on vibrational energy transfer. - Write and test MQCT code. Conduct computer simulations with a growing degree of
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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal
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on algorithms, data structures, and programming languages like Python.) Working knowledge of generative AI techniques, such as GANs and VAEs is a plus. A minimum of two (2) years of full-time professional
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on highly complex technology, algorithm development and data management and analysis. CDT is a recognized world leader in the technological treatment of diabetes and the hub of an international research
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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. Leverages data analysis and web development skills to build a platform that optimizes matching algorithms, provides intuitive user experiences, and integrates comprehensive data analytics tools. 1. Manages
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develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project reports, presentations, and other related media. Work in interdisciplinary collaborations with
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algorithms. An understanding of when to apply what data-driven approach, from statistical techniques to generative AI models. Experience working with DOE National Laboratories (or similar R&D organizations
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of related cognitive modules. Specifically, the Data Scientist will research state-of-the-art algorithms in machine learning to identify viable project approaches, design prototypes that connect data