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or integrating control algorithms into physical testbeds Knowledge of predictive maintenance methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real
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of the DBSCI (imaging platforms of the LPCV, IBS, PFNC, equipped with instruments such as FIB-SEM and cryo-TEM, etc.). You will work in close collaboration with IBS to build a local network aimed at developing
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
Impact: Connect directly with international research activities on the evolution of climate and development scenarios to inform global futures. Networking Potential: Collaborate with PIK’s extensive
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interdisciplinary team possessing the skills and infrastructure needed to perform the proposed research. WISDOM program will also involve a strong network of industry partners which are committed to development and
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is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators in
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and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan area of Marrakech
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more than a decade of longitudinal health information. This position is funded by the Rossy Cancer Network as part of its mission to improve the quality of cancer care for populations served by the McGill
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and qualifications Expertise in advanced machine learning, deep learning and image vision techniques with focus on EO data (e.g. deep convolutional neural networks, transformers, deep learning based