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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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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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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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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 5 hours ago
of drugs used to treat bleeding disorders. (ii) Develops national and international standards and methods for the measurement of the potency of coagulation proteins used as drugs. You will carry out studies
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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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, 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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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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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