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• Information-theoretical analysis of entanglement-supported classical communication, • Encoding protocols for entanglement-assisted classical communication, • Protocols for interleaving transmission in networks
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, clustering, neural networks) for spectral interpretation, segmentation, and material identification. • Create and curate a dedicated HSI spectral library for cultural heritage materials, linking reference
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a unique opportunity to contribute to cutting-edge research on remote robotic control under network uncertainties, focusing on the development of fault-tolerant and adaptive control architectures
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with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience
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is conducted in collaboration with partners in Europe, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya and their network
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partners in Europe, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya and their network of research partners. Your tasks will be
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very good communication and collaboration skills in an interdisciplinary and international setting. We offer: • The exciting opportunity to work in a world-class institute within an interdisciplinary and
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning