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delivery of research proposals in accordance with the Centre¿s social justice methodology; managing ethical review processes; developing and applying creative approaches; qualitative/quantitative data
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avoiding one another or moving together. However, suitable statistical techniques for analyzing such data remain underdeveloped. Point processes offer a promising approach for studying short-term
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to different types of sensors and environmental From a methodological point of view, this project will address several key challenges in AI. One of the main challenges will be domain adaptation, which consists
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delivery of research proposals in accordance with the Centre’s social justice methodology; managing ethical review processes; developing and applying creative approaches; qualitative/quantitative data
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 12 days ago
using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 15 days ago
petals of roses with different petal numbers vary in shape and size. Accurately quantifying the size and shape of petals within a rose, at different growth stages, allows to study fundamental biological
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, to exercise the functions of Preparation of materials for hydrogen storage; use of different characterization techniques, including thermogravimetry, X-ray diffraction, scanning/transmission electron microscopy
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of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with