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assignment of a research grant, with one position(s), under the project COMPETE2030-FEDER-00819700 | 16914, title W2R - From Waste to Resource: Bioprocesses for recycling mining industry waste in alignment
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of the newly developed materials, in alignment with the objectives of the hydrogen economy and the green transition. VII.II- The evaluation of the criteria and the final classification will be based on a scale
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. Building on the existing FT-Transformer baseline and SNN-head experiments, the work aims to strengthen empirical evidence, improve interpretability, and align the methodology with Responsible AI principles
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measures and policies in the consortium’s universities, which are linked to policies for the reception and linguistic integration of international, mobility or refugee students at multiple levels – European
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application of the methodology. By aligning technical innovation with ethics and interpretability, the project aims to contribute to a safer and more responsible adoption of AI in the healthcare domain
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practices aligned with the circular economy. The research will also include the study of species adaptation to saline gradients and the associated environmental impact, based on advanced chemical and
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-Implement a toolkit or pipeline that incorporates multiple curation techniques. 4-Evaluate the impact of each curation step on data quality and model performance using standard ML tasks. 5-Propose a