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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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://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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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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, 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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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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to a specific social security system and to insurance against personal accidents at work. 13 - Selection methods and criteria The evaluation of the applications shall be based on the Applicant’s Merits
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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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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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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep