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Description Professors Samreen Malik, Jordan Norris, and Alaïs Martin-Baillon at New York University Abu Dhabi are seeking a full-time Research Assistant (RA) to support multiple ongoing research
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aims to make discoveries by mapping the brain. The Lab is using high-throughput serial electron microscopy (SEM) to completely image multiple brains and nervous systems. The massive data sets will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
nutrition research. Our on-site facilities include multiple wet labs and clinical facilities as well as a vivarium and a metabolic chamber. Approximately two hours from UNC-Chapel Hill , the NRI is located
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procedures (e.g., multilevel modeling, longitudinal data analysis, machine learning algorithms), cleaning and structuring large datasets, validating model assumptions, and ensuring reproducibility. Synthesizes
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prioritize multiple tasks and projects in a fast-paced office environment, meeting deadlines and project requirements. Excellent verbal and written communication skills. Excellent project management and
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) at Harbor Branch Oceanographic Institute/Florida Atlantic University. Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS) – a cyber physical system
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aims to make discoveries by mapping the brain. The Lab is using high-throughput serial electron microscopy (SEM) to completely image multiple brains and nervous systems. The massive data sets will be
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management systems in complex organizations with multiple stakeholders, authors, and editors. Proven experience in marketing, with a focus on strategic marketing leadership and management within the digital
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artificial intelligence. You will work with a diverse group of faculty, postdocs, and students from multiple disciplines, including cognitive science, psychology, computer science, statistics and machine
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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