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of ecosystem degradation and the aforementioned extreme climatic phenomena; (v) explore a “Machine Learning” analysis to explore the importance of other environmental and managerial factors in the spatial and
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control, statistical analysis and critical interpretation of results.. Preferred Factors: Will be considered preferred factors: -• Knowledge of machine learning and advanced data analysis, including
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
skills; experience using tools such as Python, MATLAB, Julia, GAMS, Pyomo, CPLEX, or Gurobi; and knowledge of artificial intelligence and machine learning methods applied to consumption forecasting, energy
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: Development of a computer vision-based machine learning model, using Convolutional Neural Networks or similar architectures, for the early detection of diseases in pome fruit orchards. Tasks: - Review machine
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in Machine Learning and Artificial Intelligence. Must be able to design and implement data-driven software architectures, from conception to production, ensuring good practices in the development
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limited historical data. This thesis evaluates the use of advanced machine learning methods, as a policy-support tool for early dropout detection in higher education. Beyond predictive accuracy, the methods
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courses of Higher Education Institutions. Preference factors: • Fluency in English and Portuguese, spoken and written; • Experience in data analysis, Artificial Intelligence or machine learning
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
. The successful candidate will be expected to carry out the following scientific activities: Application of advanced Machine Learning, Deep Learning, reduced-order modelling, and physics-informed/-guided modelling
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
algorithms, population-based methods, hybrid strategies, and decomposition approaches. The integration of machine learning and surrogate modeling techniques will also be explored to accelerate the optimization
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electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and