208 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Spain
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- agencia estatal consejo superior de investigaciones cientificas
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Investigate the use of causal discovery methods in "concept drift" situations in structural causal models. In semiparametric Bayesian networks, investigate the selection of covariance matrices and the
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Description Distribution estimation algorithms for abductive inference (total or partial) in dynamic domains. Structural learning of dynamic Bayesian networks with discrete and continuous variables (parametric
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federated data platform, following guidelines and demonstrators developed by IMPaCT-Data. This pilot project aims to launch the Network and establish its foundational structure by leveraging existing
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synthesis and much physicochemical and structural characterization. The researcher should maintain clear and traceable lab records of the experiments and will report directly to the PI. She/he should also
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OF PREDOCTORAL CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 118322 The Department of Applied Linguistics, UPV, Spain, is offering a fully
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period is from 18 November to 1 December 2025. Where to apply Website https://t.ly/xLeAK Requirements Research FieldHistoryEducation LevelPhD or equivalent Research FieldJuridical sciencesEducation
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interaction between substrate/ZnOMx layer (M=Metal) in deposits obtained by Atomic Layer Deposition (ALD). Develop optoelectronic devices. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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postdoctoral researchers (Full details on http://www.iciq.org/ ). Our mission is to lead, from the vantage point of molecular science, cross-strategies for solving major social and economic challenges, such as
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diverse environments in suitable vectors; (iii) adapt existing enzyme assays to droplet format; (iv) screen libraries from metagenomes; v) sequence and structure determination, biochemical and
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HSJD, the Directorate of Research, Innovation and Learning (DRIA) serves as the strategic structure responsible for facilitating, promoting, coordinating, and consolidating scientific research