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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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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, we imagine, invent and create solutions
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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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our Language Center. A work culture in which we embrace differences, everyone is welcome and given equal opportunities. A vibrant campus in green surroundings that is easily accessible by public
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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