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: Have demonstrable experience in the use of machine learning algorithms applied to engineering phenomena, especially in the areas of structural engineering; Have applied knowledge in the finite element
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for the analysis of complex experimental data; • Development and implementation of strategies for multiomics data integration and systems biology; • Use of Python and R for statistical analysis, machine learning
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NOVA Institute for Medical Systems Biology (NIMSB) announces Four Independent Group Leader positions
for integration of large-scale omics datasets, and application of machine learning and statistical modelling for decipher cell and tissue behaviour, elucidate disease mechanisms, and enable patient stratification
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19 Sep 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal
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the formula 0,40PQ + 0,40PV + 0,20AI. PQ corresponds to the quantitative evaluation of publications in ISI/SCOPUS journals: in advanced statistical models (e.g., Machine Learning), as well as in programming
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11 Sep 2025 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Engineering » Electrical engineering Engineering » Computer engineering
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11 Sep 2025 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Engineering » Electrical engineering Engineering » Computer engineering
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development for engineering applications and optimization, and machine learning methods (30%); Experience in research activities within the scientific area of the application (30%). If necessary, an interview
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11 Sep 2025 Job Information Organisation/Company University of Porto Department Human Resources Department Research Field Engineering » Electrical engineering Engineering » Computer engineering
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Artificial Intelligence, with an emphasis on developing methodologies and techniques for Evolutionary Computation and Machine Learning. Work Plan: State-of-the-art survey of Evolutionary Algorithms and Large