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description: Work Area: Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems Project overview: Processing of physiological and inertial signals
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will be involved in the development of MKID detectors. Close interaction with the teams involved in the AMINO project is also necessary in order to properly define the algorithms required for data
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, funded by FAR 2024 UNIMORE linea FOMO, and aims to develop authenticity models through environmentally friendly analytical techniques combined with data processing and machine learning algorithms
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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis
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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis
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simulation software. Develop algorithms and techniques that reinvent signal understanding and processing. Collaborate closely with the tight-knit members that make up the Simulation Team and collaborate
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running