29 python-"https:"-"CIPMM---Systemic-Neurophysiology"-"UCL"-"UCL" Fellowship positions in Portugal
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- Centro de Engenharia Biológica da Universidade do Minho
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of an academic degree or in a non-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 days 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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 4 days 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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Reference Number AE2026-0057 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0057.pdf CALL FOR
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Reference Number AE2026-0054 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0054.pdf CALL FOR
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wording. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179 Regulations for Research Grants of the Foundation for Science and Technology in force https://diariodarepublica.pt/dr
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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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(preferably in R and/or Python). b) Preferential factors: Familiarity with spatial data analysis and/or Machine Learning methods will be valued. Workplan and objectives to be achieved: The work plan aims