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great deal of optimization of conjugation conditions. The second aspect of the thesis will aim to reveal the genetic potential of these two strains by analyzing the multi-omic data already obtained
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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of patients treated with immune-checkpoints inhibitors. Our final clinical goals are to help to generate new data-driven tumor response criteria, specifically adapted to immunotherapy, so as to optimize
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Dopant and Defect Physics for Device Optimization for Hafnium Oxide based Devices Devices realized with ferroelectric hafnium oxide are silicon compatible, power-efficient, and can be cost