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Field
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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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of twelve credits per semester in support of our undergraduate and/or graduate degree programs. We are particularly interested in candidates with experience teaching courses in algorithms, artificial
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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checks that comply with IRB/ethical standards. Design and implement computer-vision algorithms. Develop, test, and refine deep-learning models (e.g., detection, segmentation, tracking) in PyTorch
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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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advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols. Essential
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. Must have hands-on experience implementing agent algorithms and debugging code. Strong problem-solving skills and ability to design and productionize solutions. Experience with cloud-based service
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to temporal data, such as RF I/Q streams, audio, or video. (2) Quantum information science and engineering, with emphasis on quantum algorithm development using current and/or near-term quantum computers (3
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start the development of a project. Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning, and forecasting Identify data sets needed
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only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of