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candidate.Research field: Applied Physics, Computer Science, Data Analysis, Machine Learning, Artificial Intelligence.Type of contract: Temporary.Job status: Full-time.Duration: 36 months.Application deadline: 15/05
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other sources to build knowledge graph.Researcher profile: Doctoral candidate.Research field: Applied Physics, Computer Science, Data Analysis, Machine Learning, Artificial Intelligence.Type of contract
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, electronics, systems engineering, machine learning. A track record of project works Strong interest towards problem solving and experimental activity Fluency in English (written and spoken) Preferred
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by NESTOR is the combination of the advanced coherent pluggable transceivers with newly developed artificial intelligence/machine learning (AI/ML) algorithms, to allow the optical network to be
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by NESTOR is the combination of the advanced coherent pluggable transceivers with newly developed artificial intelligence/machine learning (AI/ML) algorithms, to allow the optical network to be
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the development of multidisciplinary skills, especially in the electronics, transducers and machine learning fields. The activity will take place at the Department of Industrial Engineering of the Università degli
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quantum metrology and quantum machine learning. Expected outcomes: To improve the performance of variational algorithms, with application to quantum machine learning and quantum metrology. Requirements