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. Oriented towards Africa, CAES acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. Research on plant
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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data from measurement and observation networks, as well as snow testing protocols, to provide access to a larger, harmonized information system on both sides of the border; Mutual training and
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
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characterization and large-scale component testing, including the setup and use of conventional and advanced sensing technologies (e.g., displacement/strain sensors, DIC, fiber-optic sensing). Analyze experimental
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system, and (2) a validated prototype of a multi-channel detection system for fish entering the net. The focus will be on implementing fish detection by combining measurements of time- and position
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instrumented beam equipped with a multi-channel flatfish detection system, and (2) a validated prototype of a multi-channel detection system for fish entering the net. The focus will be on implementing fish
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such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and
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, seeks a postdoctoral candidate in wireless sensor networks and the Internet of Things. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and