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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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, we will investigate how traditional computer-science techniques for verification and falsification as well as machine learning can be tailored to these goals. This way, the project lays the grounds
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threats, and safe NLP models, contributing to a safe and secure society. Using insights from Cybersecurity to improve systematic security in NLP models. The candidate should have an MSc. in Machine Learning
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machine learning is advantageous Interest in data mining and database management Programming skills e.g. in R or Python Good analytical and communication skills. Proficiency in written and spoken English is
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electrophysiological signals (EEG, EMG) for intuitive control of upper-limb prosthetic devices. You will create machine learning methods that combine neural signals with environmental context to enable seamless object
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and analyzing data in metabolic research. In addition, you have extensive expertise in metabolomic data analysis, big data handling, machine learning, or statistical modeling, all of which are essential
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the interplay between qualitative and quantitative methods and data. There is a growing focus on novel computational methods such as NLP, machine learning, and AI within the group. Teaching activities in
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, operando characterization, and scalable materials synthesis, as well as autonomous robotics, digital twins, and machine learning, CAPeX will reinvent the ways we invent new sustainable materials for Power
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transformers, Machine Learning, Power systems. Expertise with the following engineering tools and programming languages can be an advantage but not limited to: MATLAB, PLECS, PSCAD, others
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converging operational research, machine learning, and decision-making methodologies. The ultimate goal is to create real-time autonomous systems that are not only trustworthy but also adaptive in the face of