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sustainability such as: providing empirical evidence on the drivers of public debt dynamics and defining optimal policies that ensure debt sustainability; investigating individuals’ preferences, willingness to pay
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and optimizing image-guided radiotherapy protocols, using adaptive radiotherapy, including MR-linacs; and optimizing the integration of radiotherapy and systemic therapies. Teaching activities will
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significantly change in response to external factors, providing insight into optimal cultivation practices. Bioactivity-Guided Profiling: Integrating metabolomics data with in vitro and ex vivo bioassays (e.g
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of numerical sampling and optimization
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machine learning models (e.g., VAEs, GANs, transformer-based models) to large-scale biomedical and biological data, including developing and optimizing models to predict disease progression and create
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collaborators to optimize analysis workflows and share expertise Supporting experimental biologists by integrating multi-omic analyses to identify optimal targets for functional validation Interpreting results
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Nonequilibrium dynamics in crowded enzymatic media: characterization and inference from observations
theoretical results with recent experimental data. They will perform simulated experiments to elucidate the optimal conditions under which different theoretical ingredients can be observed. Finally, they will
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will carry out research and teaching activities in the field of design, management, and optimization of industrial plants, with particular attention to topics related to production process digitalization
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-Puplett configuration, and a cryogenic reference blackbody. The activity also includes a phase of optimization of the optical system, with particular attention to straylight, and afinal phase
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, as well as for the NODC-OGS web interfaces and the strengthening of semantic interoperability and Machine-to-Machine (M2M) access services. The activities will involve the use of cloud-optimized