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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 16 hours ago
tokenization, text classification, and named entity recognition. Compare traditional rule-based NLP approaches with modern machine learning-based approaches and articulate when each may be appropriate in a
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | about 2 months ago
in genomics, single-cell data, or machine learning (preferred) Why this is exceptional Build next-generation AI models of the human genome Work with one of the richest longitudinal PD datasets
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Able to adapt to change, Able to assemble, analyze and present data, Able to learn and retain information, Able to multitask, Able to plan, organize, and implement projects in a timely manner, Able to
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standards and data protection regulations. This includes managing sensitive data correctly and guaranteeing that machine learning applications are developed with ethical considerations in mind. Participate in
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emerging technologies, transportation data, policy, research and all modes of transportation across the Department. As a Fellow, you will learn to facilitate the transformation of our transportation system
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applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches
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level rise and global climate change affects NC’s coastal communities, learn about the unique set of issues that rural non-profits face, and help those non-profits on a variety of projects. Work Performed
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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: Guide junior researchers and graduate students. Required Knowledge, Skills and Abilities AI/ML Expertise: Strong knowledge of advanced machine learning, deep learning, and AI techniques. Programming
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of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects