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of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest hundredth, applying the following formulas: - AR: criterion 1 * (60%) + criterion 2 * (40
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) will also be valued. VII.III- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest hundredth, applying the following
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- Criterion 2 – Specific knowledge related to the work plan VII.II- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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, human-in-the-loop AI agents to aid in routine urban operations and emergency response (e.g., severe flooding, power outages, and critical water main failures). Responsibilities* Agentic AI & Multi-Agent
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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-situ/operando and synchrotron characterisation. Analyse and interpret experimental data, establish composition-structure-property relationships, and contribute to mechanistic understanding of catalytic
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, establish composition-structure-property relationships, and contribute to mechanistic understanding of catalytic processes. Prepare high-quality journal publications, technical reports and conference
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. Exclusivity regime: The grantee will perform the activities under exclusivity, as foreseen in article 5º of the Research Fellow Statutes and applicable regulations. Composition of the Selection Committee