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highly interdisciplinary project Interest in the topics of one of the two projects Bonus: Experience working with social media data, mental health, social networks, natural language processing, experiment
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English skills Good knowledge of German or willingness to acquire German within the course of the position (in case of applicants that do not have German as a mother tongue) Teamplayer with strong social
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: Essential criteria PhD in Natural Language Processing (NLP), Artificial Intelligence or a very closely related discipline. Strong research record in NLP as evidenced by publications in high quality journals
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field. Specialization in
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developing and applying deep learning models, particularly in areas such as natural language processing (e.g. use of LLMs), computer vision (e.g. CNNs for image classification), and multimodal data integration
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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The Department of Language and Culture at the University of Southern Denmark (Odense, Denmark) invites applications for a fully funded 3-year postdoctoral position as part of the research project
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a