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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
solid academic background in polymer synthesis and electrochemistry. The candidates should be self-motivated to explore new areas of studies including AI related and machine learning fields, have evidence
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Postdoctoral Fellow – J DiFrisco Lab Reports to: James DiFrisco – Group Leader Contract: This is a full-time, fixed term position (4 years) on Crick terms and conditions of employment. Salary
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looking for postdoctoral researchers in the area of computer vision, AI, and machine learning. The initial appointment will be for 2 years with a possible extension with a tentative start date in January
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modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes
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experience in model evaluation, statistical data analysis, and machine learning are seen as advantages. The position involves attending international conferences and presenting scientific or technical work in
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computer applications, including MS Office, wordpress, google applications, etc., and University-specific software and/or the ability to learn. Demonstrated problem-solving skills and ability to analyze data
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, Artificial Intelligence, or distributed systems. Direct experience within AI security, Adversarial Machine Learning, or workload anomaly detection would be a bonus. Findings of this research are intended to be
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, biostatistics, computational biology, or related quantitative fields is required. Expertise in areas such as bioinformatics, statistics, or machine learning is preferred. Vacancy #NIA-IRP-LBN-26-01. Laboratory