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study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication
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are:; - Developing energy consumption forecasting tools based on real data.; - Applying these tools to a use case.; - Writing reports and articles for international conferences and journals using the new models and
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: • modelling and optimisation of PCM thermal storage for buildings and industry use
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the generated data can be used in practice. A new metric to help this comparison is expected to be created. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Test GAN models – Compare leading GANs
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support the Digital Product Passport, integrating the calculation of circularity indicators. This will be integrated with a multi-tenant platform based on cloud technologies that will serve as an integrator
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.; - Participation in extracurricular, research, or competition-based electrical/informatics engineering projects.; Minimum requirements: - Solid programming skills - Experience with machine learning development
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valuation: the first phase comprises the Academic Evaluation (AC), based on the criteria referred to in Article 12 of the Regulations for Grants of INESC TEC, while the second phase comprehends the Individual
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the use of eBPF (e.g., more efficient log writing). ; Such functionalities will be fundamental to increasing the efficiency and fidelity of eBPF-based tools, enabling the creation of more robust, effective
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(spoken and written). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based on the criteria
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of 20; Experience in python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based