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10 Oct 2025 Job Information Organisation/Company Università degli Studi di Udine Research Field Agricultural sciences » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 24 Oct...
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treatment at reducing the severity of pathogen infection to develop optimized treatment strategies for the reduction of the fungus Venturia inaequalis for apples, the fungus Spilocaea oleaginea and the
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the other hand, the project will explore the phenomenology at high-energy colliders of such theories, designing and optimizing new search strategies for their associated signals. Where to apply Website https
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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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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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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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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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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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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