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- Fondazione Bruno Kessler
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Sustainability 2. Methods, Models and Technologies for Engineering 3. Educational models and contexts: Sport, Inclusion, and Technology 4. Public administration and enterprises for innovation and local development
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archaeologists to understand AI results – Generalization and transferability analyses, considering domain adaptation and transfer learning strategies to ensure model robustness across different geographic regions
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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controlled operation, reduced energy consumption, and enhanced sustainability. The researcher is expected to contribute to advancing knowledge in the field of sensors and microsystems by achieving innovative
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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) benchmarks often prioritize leaderboard scores over practical utility, failing to capture how models behave in real-world, socially situated contexts. This PhD project treats evaluation methodology as a
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when manipulated content is used to incite hostility toward marginalized groups. While large language models (LLMs) offer potential for fact-checking and counterspeech, current systems often struggle
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. The application scenarios range from quality-control, video-surveillance to automotive. The company collaborates with Fondazione Bruno Kessler in the study and development of advanced low-power
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or professional experience in the field of soil indicators development, soil health assessments, soil monitoring and modelling. The experience should be proven and cover at least 1 year of activity. • Extensive
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, Materials Science or similar disciplines Documented experience in developing TEM techniques A strong publication record The ability to properly report, organise and publish research data Good command