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Field
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learning models to forecast and visualize heat flow and occupant comfort metrics. Identify key drivers of energy inefficiency, including occupant behaviour patterns and physical heat loss hotspots. Formulate
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
interacting fibers producing visually appealing images. However, these simulators remain limited to fibers with small natural curvature, making them unable to retrieve the rich phenomenology observed for highly
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) Performing multivariate analysis of risk factors and tumor biomarkers Collaborating in the development of digital platforms and interactive dashboards for data visualization Contributing to the writing
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for hardware control and data visualization. • Experience in working in wet-lab environment and/or dealing with food samples • Industry experience in product development and/or in vitro diagnostics is highly
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, processing, visualization, analysis, interpretation, and dissemination of results. The candidate will help with mouse colony management. The candidate will be involved in preparing conference presentations and
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Technology (ITN) which is known for its activities in logistics, visualization and organic electronics. We combine academic height with fruitful collaboration with the surrounding society. The position
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topic: Capture and model changes in material appearance during exploratory movements. Aim to establish links between material tactile parameters, dynamic changes in the visual information and
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through hydrated micropores in polymer membranes” Nature 635 (2024) 353-358. Britton et al, “In Situ, Real-Time Visualization of Electrochemistry Using Magnetic Resonance Imaging”, J. Phys. Chem. Lett., 4
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Nationale des Ponts et Chaussées, IP Paris, under the supervision of Mathieu Aubry , in the context of the DISCOVER ERC project on "Discovering and Analyzing Visual Structures". This PhD project aims
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function and develop science-based advice in fisheries management to prevent significant adverse impacts. This project will combine seafloor visual surveys, targeted sampling and AI-assisted image analyses