14 parallel-processing "Computer Vision Center" Postdoctoral positions at University of Twente
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
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electrical engineering, computer science or a closely related field. A solid foundation in computer vision, pattern recognition, AI-related techniques. Hands-on interest in designing methods using
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collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
-Design). Your profile PhD in a relevant field (ethics, philosophy of science, philosophy of science in practice, science and technology studies, ethics of AI, or related domains such as computer
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interdisciplinary research environment at the intersection of conversational AI, human–computer interaction, multimodal interaction, user modelling, and cultural heritage. As a postdoctoral researcher, you will
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profile You are an enthusiastic and highly motivated researcher. You have, or will shortly, acquire a PhD degree in the field of Human-Computer Interaction, Interaction Design or Interaction Technology
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resulting performance in our MEMS measurement lab. The PhD candidate will work at the Integrated Devices and Systems (IDS) group within the Faculty of Electrical Engineering, Mathematics and Computer
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Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT
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with minimal post-processing. An understanding of photo-curable systems, resin formulation, fluid mechanics, and/or soft matter is beneficial. The position is hosted at the University of Twente, starting
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experience with experimental research on surfaces, interfaces, thin films, wafer processing, adhesion, or semiconductor-related materials. You are familiar with one or more relevant characterization