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reasoning domains. This work will blend cutting-edge experimentation - spanning RL, few-shot learning, meta-learning, etc. - with formal analysis to push the boundaries of what modern AI systems can reliably
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. As part of the SWEET DecarbCH
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how perishable biological products react inside cold chain unit operations and to pinpoint why some products decay faster. For that purpose, we develop digital twins of the cargo, based on measured air
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turn fundamentally alter the functioning of ecosystems. Alpine and arctic ecosystems have remained relatively natural so far, but are especially affected by these changes as they are warming faster than
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characterization techniques (XRD, SEM), modeling is advantageous Readiness to operate sophisticated equipment, including maintenance and user training Diligent working attitude including precise record keeping
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. Within the framework of the SWEET
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applications from prospective PhD students who are interested in performing research in Mathematical and Theoretical High Energy Physics. The PhD work will be carried out in the group of Prof. Alba Grassi
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to compliance with export-control and embargo legislation . The committee will also consider the applicant’s specific research topic as well as the thesis supervisor(s) the applicant would like to work with