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the European Testing and Experimentation Facility (TEF) for AI and Robotics in Smart Cities and Communities. With 15 test sites across the EU, it supports companies and public actors in developing
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impact A demonstrated commitment to mentoring and fostering the next generation of researchers Willingness to contribute to teaching programmes at the undergraduate and graduate levels in areas related
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provides methodological support in statistical planning as well as analysis & data handling for various laboratories and research groups. The methodology group explores or develops new methodologies to help
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within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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The Laboratory Technician will integrate the Human Biomonitoring Research Unit (HBRU). He/She will mainly work on the development of analytical methods for the detection of pollutants (pesticides
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown
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The successful candidate will develop computational approaches to discover, model, and develop therapeutic strategies. Examples of potential approaches include: -Network Modeling: Creating
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on the following criteria: • Ability to lead a research program of high risk/high gain projects, supported by a track record of publications and grants. The candidates must meet all criteria to compete for national
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, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit