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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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the R&D unit CONSTRUCT The work will be developed at the Mechanical Engineering Department of the Faculty of Engineering of the University of Porto (FEUP). The monthly remuneration to be paid is
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being
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Member: Professor João Paulo Sousa Costa de Miranda Guedes Substitute Member: Professor António José Coelho Dias Arêde The work will be developed at the Civil Engineering Department of the Faculty
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Professor, Faculty of Engineering, University of Porto, vowel) and Maria Teresa Pereira de Oliva Teles Moreira (Adjunct Professor, Higher Institute of Engineering, Polytechnic Institute of Porto, vowel). 4
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment