21 machine-learning-"https:"-"https:"-"https:" positions at Utrecht University in Netherlands
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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, where disparities persist and how universities can create more equitable learning environments. Your job IThe Department of Developmental Psychology has a job opening for a PhD candidate in the field
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Societies’. The candidate must be versatile across our teaching programmes. Being able to teach in Dutch is, therefore, an asset. Ideally, the candidate will also demonstrate a commitment to outreach and
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room to learn and develop professionally at the frontier of academic research. You will work under the supervision of Dr Burcu Özgün , Dr Giovanna Capponi , and Professor Carolina Castaldi .
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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; Ability to acquire external funding; Good communication skills; Fluency in English; ability to communicate in Dutch is preferred. Our offer an employment contract for 12 months with the prospect of a
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or another relevant field; the ability and enthusiasm to learn and apply quantitative and qualitative methods within HTA; an interest in cross-disciplinary work within HTA; good oral and written communication
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seeks to connect with social movements, protest, and conflict. Please follow the links to learn more about the Cultural Anthropology Department and the Sovereignty and Social Contestation Research
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strong affinity with the study of socio-economic and ethnic inequality; has experience with advanced quantitative methods (or is motivated to learn); ideally has experience with large-scale, complex data