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Stig Brøndbo 15th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in knowledge-driven machine learning Apply for this job See advertisement The position Join
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Norwegian centre of excellence with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge
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Description The position A PhD position in machine learning for graphs and time series data is available at the Department of Mathematics and Statistics , Faculty of Science and Technology . The position is
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Stig Brøndbo 2nd May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in Machine Learning for graphs and time series data Apply for this job See advertisement
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Ghahramani. Course web page . 4F10: Statistical Pattern Processing Taught by Mark Gales. Course web page . 4F13: Machine Learning Taught by Zoubin Ghahramani and Carl Rasmussen. Course web page . PREVIOUS
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studentship affiliation The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
), through IAPMEI - Agência para a Competitividade e Inovação Workplan: The grant will take place in the scope of the project SmartRetail. The goal is the implementation of computer vision and machine learning
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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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18 Apr 2024 Job Information Organisation/Company INESC TEC Research Field Computer science Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal
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TEC. 2. OBJECTIVES: - Enlarge knowledge of digital simulators state-of-the-art for power systems; - Develop the R&D capacity through the application of machine learning methods; - Develop research