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, negotiation, and normalization of new technologies. As different actors with diverging interests shape the debate over journalism and technology, the project scrutinizes their competing norms and values
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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with TMS at specific oscillatory states and measure the subsequent network response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis
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(LLMs) and state of the art methods in NLP. Has a demonstrable interest in misinformation countering or climate communication. Is willing to acquire knowledge of Social Network Analysis methods and
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, single-molecule techniques, and optical imaging is welcomed. We foster diversity and female candidates are particularly invited to apply, since the gender balance recently declined with the departure
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you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together
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community. The supervision of the researcher will be jointly carried out between profs Jeanne Mifsud Bonnici (Faculty of Law), Christos Emmanouilidis (Faculty of Economics and Business) and Ming Cao (Faculty
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Your job Are you looking for a PhD position and do you like to participate in an exciting interdisciplinary research project to discover how different ingredients affect food digestion and appetite
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) at the Faculty of Law and the Jantina Tammes School of Digital Society, Technology and AI research community. The supervision of the researcher will be jointly carried out between profs Jeanne Mifsud Bonnici
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. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual annotations). The research will be conducted