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Field
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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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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 | 9 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 | 12 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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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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design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal processing
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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
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neuroscience (23240033) Understanding how adaptive and maladaptive behavior emerges from the operation of neuronal circuits is a central topic across different sub-disciplines within neuroscience. Our
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transitions between degradation modes, and neural ODE-based latent dynamics that connect multimodal signals sampled at different rates. Together, these tools will form an integrated framework that both extracts