349 algorithm-"Multiple"-"U.S"-"Prof"-"Prof"-"University-of-Wisconsin-Madison" positions
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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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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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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
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes
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literature review, algorithm design, experiment design, model training, evaluation, and benchmarking. Work with and supervise undergraduate or graduate student assistants, guiding them in data collection
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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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planning algorithms to re-route or schedule multiple vehicles to minimise the impact on the efficiency and safety. This PhD position is related to a 2-year project funded by SESAR, involving various partners
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 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