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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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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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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
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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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, 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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well as developing techniques to augment training data. In addition, the concept of "version control" will be examined to train machine learning models more efficiently. Currently, retraining large models can break
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/Qualifications PhD in Computer Science or related field (with preferred specialization in Machine Learning/Deep Learning); Documented experience in Machine learning and Deep neural network model design and
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on topics regarding, electronics and signal processing, machine learning for the control of prostheses, and regulations for biomedical devices. Requirements LanguagesENGLISHLevelExcellent Additional
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at least three years' experience in techniques for collecting and analyzing data from Social Media; Machine Learning algorithms, Big Data technologies and nosql databases, or possession of a PhD or PhD