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Field
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experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project
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evaluation of human-centered artifacts. This would include working on research projects involving assistive technologies for people with visual impairments, personalized learning platforms, and Human-Computer
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30 Sep 2026 Job Information Organisation/Company Högskolan i Skövde Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 20 Oct 2026 - 12:00 (UTC
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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., video, audio, artifacts). Experience in using qualitative data analysis software. Experience in creating interactive design prototypes and data visualizations. Experience in machine learning or generative
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work within established research programmes. Experience of researching the morphology and/or evolution of visual systems and arthropod eyes is a desirable. For further details of the role please see the
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex