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Field
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port issues, for example (non-exhaustive list): port economics and logistics, port–city urban planning, coastal engineering, marine environment, energy and decarbonisation, data / AI and digital twins
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control of soft robotic systems. The research will focus on developing simulation and digital twin frameworks for soft and continuum robots, integrating advanced sensing technologies for shape and force
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., which may be delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital identifier
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between radiative, climatic, and morphological processes. The DITEN laboratory of UniGe brings complementary expertise in signal processing, remote sensing, pattern recognition, and energy systems
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
to anticipate and manage. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies