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Field
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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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opportunities. The chance to help shape a newly funded research line with real clinical impact, within an international network of academic and industry partners. Where to apply Website https
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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover
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forums such as the Inter-Agency Space Debris Coordination Committee (IADC) and standardisation bodies such as ECSS and ISO. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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have affinity with data collection tools? Within the project ReGeNL, we are looking for a junior researcher to support the monitoring and learning activities within ReGENL. There is steadily growing
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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The Engineering Dynamics | Engineering Dynamics | Department MS3](https://www.utwente.nl/en/et/ms3/research-chairs/ed/)) group, Faculty of Engineering Technology at the University of Twente