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manufacturing and deployment in durable, real-world devices. In this context, several fundamental questions arise: Can we build an unambiguous and comprehensive empirical knowledge base that enables predictive
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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with industrial application using sensor systems, systematized software production and scientific production and writing, designing, building and testing laboratory prototypes for predictive maintenance
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scientific leaders and entrepreneurs. Job Summary This role reports to the Director of Finance and the Senior Associate Dean and Chief Operations Officer. The Financial Systems and Controls Architect
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) to Volumetric Arc Therapy (VMAT), Stereotactic Radiosurgery (SRS), and ultra-high dose-rate (UHDR-FLASH) therapy, the need for real-time control and verification becomes critical. This PhD will further develop
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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Description of the workplace Automatic Control is an exciting and broad subject, covering both advanced mathematics and hands-on engineering. Historically, it has been instrumental in many areas
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-driven and machine-learning approaches for the analysis and integration of complex neural and movement data, supporting new insights into the mechanisms underlying human motor control and rehabilitation