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- All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: David Alejandro Perez Abreu Effective
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supporting documentation, proven experience in all of the following areas: natural language processing and machine translation (sequence-to-sequence modelling, NMT, glosses); deep learning, Transformers, and
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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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years of research on worker well-being. Grounded in our research, well-being theory, and current evidence, Dr. Susan Peters has led research in the development, validation and implementation of a model
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to be achieved: The work plan falls within the final phase of the Koachy project, focusing on the scientific validation, optimization, and demonstration of the intelligent models developed throughout
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published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Jorge Carlos dos Santos Cardoso Effective Members: Pedro Filipe Martins Carvalho; André Venturoti Perrotta; Jacinto Paulo Simões
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, mathematics, or a related field. Specific requirements: Candidates must also have knowledge/research experience in the following areas: Quantitative methods (e.g., game theory, econometrics models) applied
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opens a call for the assignment of a research grant, with two position(s), under the project PS1521, title “Development of pathophysiological models”. The call is governed by this Notice of Opening
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Weed Science and Forage Systems. The successful candidate will contribute to an interdisciplinary research and extension project evaluating the impact of weed composition and biomass on alfalfa forage
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Composition: President: João Sérgio Seixas de Melo Effective Members: Marta Piñeiro Gomez and Telma Sofia Martins Costa Alternate Members: João Manuel Ferreira Pita Batista Pina and Carla Sofia Duarte Cunha