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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 15 hours ago
Python or others (Essential) Basic knowledge of the mechanical behaviour of composite materials Experience in writing technical reports, scientific papers, or project documentation Initiative, sense
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.PEX and DOI identifier https://doi.org/10.54499/2024.15642.PEX ), financed by Fundação para a Ciência e a Tecnologia, I.P. through national funds under the 2024 Call for Exploratory Projects in All
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 1 day ago
Engineering ii. Basic knowledge of Python iii. Basic CAD modeling skills acquired during academic training iv. Introductory familiarity with numerical simulation (e.g., finite element method and meshless
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months. Where to apply Website https://www.iastro.pt/ia/jobDetails.html?ID=274 Requirements Research FieldAstronomyEducation LevelPhD or equivalent Skills/Qualifications . The call admission requirements
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to the Regulations for Research Grants of LIP and FCT and to the Status of Scientific Research Fellow (Law nº 40/2004 de 18 de Agosto, and its successive amendments). https://files.diariodarepublica.pt/2s/2019/12
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of LIP and FCT and to the Status of Scientific Research Fellow (Law nº 40/2004 de 18 de Agosto, and its successive amendments). https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf https
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, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
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Fellow (EB1)1, available in https://dre.pt/application/conteudo/127238533 and in accordance with the consolidated version with the changes resulting from the update, approved on December 10, 2025 by
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notice. Applications in paper format will not be accepted. Application deadline: The deadline for applications is from 24 February to 9 March 2026 (10 working days). Where to apply Website https
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Biology or overall large-scale sequencing data analyses; b. Proficient in R and Python scripting; c. Experience in analysis of transcriptomic data (RNAseq) enclosing large sample size; d. Experience in