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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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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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to acquire skills in innovative topics and the most widely used technologies and tools in the market. Requirements The ideal candidate should possess a master's or PhD degree in Computer Science, Computer
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colleagues in the development of a Machine Learning based prototype for a sea level EWS; Producing scientific papers based on the activities carried out during the project. Requirements Research
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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
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. Job Description The open research position is in the field of reinforcement learning for automated planning and scheduling. The STEP-RL project aims at using modern reinforcement learning techniques
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Networks and Machine Learning, even if they will not be considered a prerequisite, they will be evaluated positively; Good programming skill (ad es. Fortran, C, C++, python); High level knowledge of oral and
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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