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that span and integrate multiple scientific domains. We are looking for candidates with strong expertise in their respective fields and a passion for interdisciplinary collaboration. Each project will not
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how we can best deal with the multiplicity of multimodal meaning in argumentative practices. The project draws on normative accounts in argumentation theory (for example: informal logic, or pragma
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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for a broad audience. Has experience with multiple formats: print, digital, presentations, and reports. Designs with inclusivity and accessibility in mind, including the use of colorblind-friendly
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hub. Responsibilities: Strategic Leadership: Design cutting-edge AI R&D programs and solutions, meeting milestones, and achieving defined success metrics. Team Building: Lead a team of AI scientists
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mechanisms; the ability to manage multiple projects at the same time. In our international working environment there is an increasing amount of communication in English. For this position it is about language
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should deal with the vagaries of multimodal meaning. The PhD position “The Evaluation of Multimodal Argumentation” deals with how we can best deal with the multiplicity of multimodal meaning in
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Proactive mindset and ability to manage multiple tasks. Fluent in English; knowledge of Dutch and/or French/Arabic is an advantage. Experience working with academic or cultural institutions. Experience in
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charitable cause, but can also involve the interplay between multiple charitable causes. In this project, you will collaborate with Data Inside, a member of the UG’s Customer Insights Center which has data