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Field
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
: The research fellowship will have the duration of 3 months and is expected to begin in May 2026. The grant contract can be renovated It is mandatory to formalize applications with the submission of the following
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, Pennsylvania 15237, United States of America [map ] Subject Areas: Mathematics; Formal Methods; AI Appl Deadline: (posted 2026/01/15 05:00 AM UnitedKingdomTime, listed until 2026/07/16 04:59 AM UnitedKingdomTime
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knowledge/research experience in the following areas: Microbiological monitoring methods for water samples, using both classical microbiology and molecular microbiology approaches (e.g., DNA extraction
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://www.fct.pt/wp-content/uploads/2026/03/Tabela-de-Valores-SMM-2026.pdf )) and will be paid by bank transfer. Selection methods: The selection methods to be used will be the following: i) curriculum evaluation
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involves formalization in type theory and the mechanization of results using interactive theorem provers. The project welcomes a broad range of perspectives across functional-imperative programming
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
challenges, requiring the design of specialized methods. This grant will support the development of continual learning methods in multimodal scenarios for healthcare. Duration: The research fellowship will
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
of a mixed-age participatory decision-making methodology based on gamified MCDA tools. The work will begin with the refinement and formalization of the theoretical and methodological framework, including
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research projects exploring how social contexts and experiences of marginalization influence development, family processes, and health. Ideal candidates will have knowledge of advanced quantitative methods
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interdisciplinary teams. Knowledge of tools and methods relevant to the work plan. Suitability of the candidate’s profile for the proposed work plan. The selection panel reserves the right to request additional