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Field
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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primarily carried out in participants’ homes using head-mounted cameras and eye-tracking to record the children’s visual and auditory experiences as well as interactions with their caregivers. The post holder
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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an inclusive, collaborative research culture. Methodological Innovation (10%): Contribute to the development of advanced analytic plans, causal methods, and data visualizations that highlight intervention
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Demonstrated ability to develop data visualization tools and interfaces for biological data representation Excellent communication skills, with ability to translate complex computational findings to diverse
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modelling, simulation, and visualization functionalities, as planned in the European project ARTEMIS - Applying Reactive Twins to Enhance Monument Information Systems. Activities may include designing and
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For further information about the position, please contact Dr. Richard Fraser, Principal Investigator, UiT- The Arctic University of Norway: email: richard.a.fraser@uit.no Deputy Head of Department Stine W
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
plan. Contribute to multimodal outputs (e.g., photography, short films, sound ethnography). Contact For further information about the position, please contact Richard Fraser, Principal Investigator, UiT
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bioinformatics pipeline aligns with overall research objective. Visualize and communicate complex microbiome data in a clear and accessible manner for interdisciplinary teams. Contribute to formulating hypothesis
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology