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of representative reliability estimation methods used in centralized learning to federated learning settings. 2) Design an experimental setup with real/realistic datasets to study to evaluate how accurately
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18 Mar 2026 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Computer engineering Researcher Profile First Stage
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sequencing in cattle. Developing better statistical methods to improve association studies with QTL and enhancing genetic prediction tools for automation of data processing required for SNP use in livestock
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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Literature review of existing methods and models Identify the weaknesses of existing models
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work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience
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that links air and road systems to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test
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. Procedure Reference: IT137- 26- 138 I - Legal admission requirements I.I - Grant Recipients: Graduates in the scientific field of Computer Engineering, Data Engineering and Science, Biomedical Engineering
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road systems to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test low-carbon and green
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to support cleaner, more efficient and cost-effective logistics. The role involves building computer simulations and digital infrastructure using right-time data to test low-carbon and green technologies, and