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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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the Research Grants Regulation of NOVA University Lisbon*; • Knowledge in computational and engineering programming areas (DIgSILENT, MATLAB (Simulink), GAMS, Proteus, Homer). • Programming skills in C++, MATLAB
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MATLAB (with proven experience – 5 points; no experience – 0 points); c) Relevant experience and solid knowledge of computational modeling and simulation tools with finite elements, especially ABAQUS (with
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, multiparameter sondes); Basic knowledge of time series analysis and/or data management; Proficiency in programming using MATLAB or Python is required; Ability to work autonomously, with a proactive and problem
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scheduling tools Support integration of solutions into digital platforms BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://www.fct.pt/wp
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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 | 24 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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to candidates with knowledge of fluid mechanics and (ideally) computational fluid dynamics; experience in MATLAB or equivalent software will be considered an asset Academic degrees obtained in foreign countries
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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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- Planeamento de tratamento biológico robusto do cancro pancreático em radioterapia”, “2024.14662.PEX”, “DOI: https://doi.org/10.54499/2024.14662.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P