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strong background in the areas of materials science, mechanical engineering and machine learning, are welcomed The successful candidate will be part of a vibrant multidisciplinary and international group
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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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(multiple omics, NGSeq, Neuroimaging, text data) with Machine Learning and AI techniques. He actually leads a group with 4 PhD students (1 ITN PhD student) 3 PostDoc Students, and 3 Research Assistants, with
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(multiple omics, NGSeq, Neuroimaging, text data) with Machine Learning and AI techniques. He actually leads a group with 4 PhD students (1 ITN PhD student) 3 PostDoc Students, and 3 Research Assistants, with
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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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associated with different health related traits. The candidate will also apply machine learning methods to generate predictive models for these different health conditions to be applied for stratification in
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1 Mar 2024 Job Information Organisation/Company Sapienza University of Rome Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) First Stage
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the definition of learning cost curves. Collaborate and coordinate activities on Tecno Economics Assessment Participate and collaborate with the engineering team to validate cost and technical model. Gathering