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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and
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the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
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Company description The Lab for NanoBiology (Prof. Dedecker) is an interdisciplinary research group focused on the study and visualization of molecular processes occurring in biosystems. We combine
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to collectively explore urban futures? This position is hosted by the Faculty of Geo-Information Sciences and Earth Observation (ITC) within the Sector Plan Beta II program’s focus area on Spatial Dynamics, which
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intelligent systems that can learn to interpret complex visual and scientific data, enabling breakthroughs in areas such as autonomous navigation, medical imaging, and materials science. The research group is
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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. Support & Administration of early intervention focused on communicative skills in infancy. Analyze and interpret behavioural and audio-visual data as well as documentation of study data and database
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, immune, and microbiome data to better define mechanisms underlying bladder health and disease. • Prepare visualizations, figures, and reports for team meetings and publications. • Contribute
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perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data