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Field
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involve adding dynamic user-friendly visualization features to interactively explore LCR annotations and relationships within proteins as well as development of tools/interfaces allowing regular updates
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interaction, psychology and sociology. Core research topics are communication & technology, verbal and non-verbal communication, health communication, climate communication, information visualization, language
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the analogue and the digital. A central focus lies in the meeting of materials – how different wood species, biocomposites, and hybrid materials react and interact when processed with both traditional and
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the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
students with strong theoretical foundations and a desire to contribute to fundamental algorithmic research. Our group works at the intersection of algorithms, machine learning, and interactive visual
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 4 days ago
mesocosm experiences; d) developing ecological models that depict the interactions among multiple invasive alien species (IAS) to visualize isolated/combined impacts; e) data management and analysis, namely
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technologies to create interactive, personalized and game-based learning experiences, and evaluate these. Duties of the position The candidate will be a member of the Software Engineering research group
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the learning outcomes. The AI agent development will focus on semi-autonomous interaction using single-shot/mutli-turn interaction. This includes training the models on pre-existing/collected data using
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applications for history education and heritage visualization. Multimodal Technologies and Interaction, vol. 3, no. 2, p. 39. Endacott, J., & Brooks, S. (2013). An updated theoretical and practical model
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daily interaction, idea exchange, and collaboration across both wet-lab and computational projects. Responsibilities The PhD student will be expected to: Plan and conduct LC-MS/MS-based proteomics