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Consiglio Nazionale delle Ricerche - Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA) | Italy | 5 days ago
Infrastructure? No Offer Description Massive analysis of geophysical data also through the implementation of Machine-Learning algorithms Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree
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Science. The possession of the PhD title Research in Computer Science, Computer Engineering or equivalent qualification is mandatory requirement for admission to the selection. A similar academic qualification obtained
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artificial intelligence (AI) and machine learning (ML) revolutionized several industries, enhancing productivity, cost savings, and risk management. The project is focused on artificial and ML algorithms
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the electronics, transducers and machine learning fields. The activity will be carried out in collaboration with Italian and non-EU institutions and the candidate will be involved in international scientific
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, involves the development of multidisciplinary skills, especially in the electronics, transducers and machine learning fields. The activity will be carried out in collaboration with Italian and non-EU
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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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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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(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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patterns using a combination of data modelling, optimization, and machine learning techniques. Within the team, your main responsibilities will be: Developing tools for the high-throughput detection