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Field
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using state-of-the-art methods Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own research Contribute to a
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data, and primarily focus on developing medical image analysis and AI methodologies. The project is a collaboration with Radboud UMC, ProBCI (Dutch Bladder Cancer Infrastructure), and IKNL (Netherlands
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response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis Writing of scientific papers; Presenting your findings; Teaching at Bachelor’s
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research and analysis. Experience with participatory research and community-engagement activities are considered a relevant bonus. - Has excellent communication, interpersonal and teamwork skills, and is
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and research skills, able to express (own) ideas and arguments at an academic level. Has experience in and affinity with qualitative research and analysis. Experience with participatory research and
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the two countries (including observations, digital ethnography, interviewing, shadowing), data management, data analysis, theory-building, and (co)authoring academic articles for leading journals in
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institutionalise organisational practices. This research will build on knowledge of infrastructure planning and institutional analysis developed in Sustainable Networks, the strategic collaboration between
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revealing factors in multi-speaker and multi-modal data and find ways to detect and hide them using natural language processing and audio analysis. We look at anonymisation, but also go beyond to study
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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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. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. The group develops algorithms and theory that enable domain experts to describe data