351 algorithm-"Multiple"-"U.S"-"Prof"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" positions
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Field
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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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the campus, empowering users to leverage data in a way that enhances institutional effectiveness. Furthermore, the RPA will apply a social justice framework when developing algorithms, creating data structures
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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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complex process often requiring multiple calls to the patient, referring physician, previous facilities/providers to request records and record review with the clinical team. Independently determine
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, technologies, models, and algorithms, and provide recommendations on their implementation. Sports Science Data Specialist II Responsibilities Assist in managing technological processes, conducting real-time data
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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days 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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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced