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subjective assessment. Design and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart
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problems. These mathematical insights will subsequently be translated into computational algorithms for inversion, uncertainty quantification and experimental design. The research will initially focus
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: Resource Security, GeoAI, Disaster Resilience, and Urban Futures. You will be working on remote sensing-based observational modelling by combining spatially distributed optical-thermal ground observations
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across tasks; Structured and compositional learning; Vision-language and multimodal models; Learning with limited supervision; Generalisation beyond pretraining distributions The precise research agenda
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scientific activities in support of ESA science-related activities. You are encouraged to visit the ESA website (http://science.esa.int ) for an overview of ESA’s Science Programme. Field(s) of activity
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distribution (QKD), where you will adapt both the codes and their decoders to the specific security and performance requirements of QKD protocols. Beyond QKD, you are encouraged to explore open problems in
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technological and (health) application perspective; planning and conducting benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms
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to operate in a scalable and decentralized manner while achieving obstacle avoidance using onboard sensing and adapting to changes in dynamic environments. In parallel to the theoretical and algorithmic
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, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms, memory technologies, and neuromorphic hardware architectures for future
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estimates, and emission algorithms. The relevant processes at the individual vessel level can be modelled in detail, and their performance can be tracked in time and space. Corridor scale effects will be