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institution. Who we are Besides the integration in the AI:EMBODY Lab, the candidate for Stipend 1 will be hosted by the Visual Analysis and Perception (VAP) Lab - an internationally recognized lab working
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, including AI-based tools or agents, to process large bioinformatics datasets and generate high-quality data visualization charts. 10. Selection Panel: The selection panel consists of: 1 - Doctor Maoxiao Peng
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and visual representations; Contextualizing research in the framework of the “Fishing Architecture” research project; Supporting the organization of events and dissemination of research. 4.2. When
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
analysis software (QGIS, ArcGIS, or equivalent). Skills in data analysis, statistics, and data visualization. Work Plan: The selected candidate will join the Coastal Biodiversity Lab at CIIMAR and will carry
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training to develop their knowledge and skills in epidemiology, population data science, such as data manipulation, modelling, and visualization, and information governance. The student will have the
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for optimally deploying wind-sail propulsion according to weather conditions The project will develop, prototype, and evaluate visual and interaction concepts that make AI advice actionable
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that foster democracy and humanitarian values. Our expertise derives from a range of fields including media and communication studies, heritage studies, visual culture, anthropology, literature, history
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. More concretely your work package, for the preparation of a doctorate, contains: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We
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, and data visualization. Knowledge, Skills and Abilities Strong proficiency in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, matplotlib/seaborn) and data visualization tools
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software