This PhD project tackles scientific issues aimed at creating and laying the mathematical foundations of an innovative Wireless IoT Communication System…
To avoid catastrophic climate change the world needs to switch to renewable energy. This will require the placement and operation of very large offshore windfarms (fixed and floating) as well as tidal stream, lagoons and wave energy developments.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
The ultimate goal of the CAFE project is to improve the sub-seasonal predictability of extreme weather events through the interdisciplinary training of 12 ESRs in aspects such as climate science, complex networks and data analysis.
