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and programming skills, namely in the use of MATLAB and Python. Candidates who do not meet these requirements will be excluded. Additional optional skills and qualifications: Proven experience in
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analytical and research skills, as well as proficiency in English, both written and spoken. Preferential factors include: Knowledge of data analysis tools (e.g., Excel, SPSS, R, Python or similar); Familiarity
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applied to document analysis; vi) familiarity with qualitative and quantitative analysis software with textual analysis and natural language processing tools, with experience in Python or R (advanced
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software such as STATA, R, or Python. Potential to publish articles in high quality international academic journals. Ability to work in teams as well as independently. Written and spoken proficiency in
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 22 days ago
). Experience in machine learning methods, including data preprocessing, model selection, and performance evaluation. Familiarity with programming languages commonly used in these domains (e.g., Python, MATLAB
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environmental and ecological data; knowledge of, or interest in, statistical data analysis using programming tools (R, Python, MATLAB, or equivalent); and the ability to work collaboratively in interdisciplinary
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, Python. • Written communication skills and ability to produce technical and scientific articles for the dissemination of R&D results. • Fluency in English (written and spoken). *Proof of compliance with
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month 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 | about 1 month 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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controlled trials (RCTs) in developing countries. Candidates should have strong quantitative skills, including proficiency in statistical software (e.g. Stata, R, or Python). Experience coordinating field