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PhD candidate, Compliance by Design: Technical Challenges of EU AI Act Requirements and Their Ethica
Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD candidate, Compliance by Design: Technical Challenges of EU AI Act Requirements
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: To investigate the diversity of forager shelters and establish the main factors that dictate their location and design WP2: to locate remnants of Palaeolithic shelters and their associated furniture through a
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(such as sexting and online gambling) and susceptibility to misinformation. To explore these challenges throughout adolescence, the SMART project aims to combine questionnaire design with the development
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to misinformation. To explore these challenges throughout adolescence, the SMART project aims to combine questionnaire design with the development of new behavioural experiments to understand adolescents’ online
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, or other types of political violence, armed conflict, or conflict processes. To align with TERGAP, the PhD candidate’s research is expected to develop a quantitative research design applying statistical
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predict and design models that can acquire a deeper understanding of video while learning from limited supervision. For insight into the supervisor’s current and previous works please refer to: Hazel
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world-class training to doctoral candidates (DCs) in EU ‘glocal’ counter-terrorism - thinking globally, responding locally; and (2) to generate scientific excellence and technological innovation in
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of Dr. Alfons Laarman and Dr. John van de Wetering; Design and implementation of quantum circuit compilation methods, including, but not limited to, simulation, verification, synthesis and optimization
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. Your role will involve: Conducting a literature review Designing and conducting experiments for multiple methods such as fMRI and eye-tracking. Analyzing data (survey, eyetracking, as well as fMRI data
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: Conducting a literature review Designing and conducting experiments for multiple methods such as fMRI and eye-tracking. Analyzing data (survey, eyetracking, as well as fMRI data) Writing scientific articles