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Education Institutions. Preference factors: - Knowledge of fundamental concepts related to energy management and gas networks; - Knowledge of optimization and forecasting models; - Knowledge of Python
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designs and results 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: -Modelling electricity markets ; -Modeling energy resources planning ; -Integration of resources for self-consumption
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secondary data from databases relating to estimates of the economic value of ES*; Ability and availability to collect, statistically model and analyse data related to the economic valuation of ES
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(R1) Admission requirements: 1 - Bachelor's degree in Computer Engineering or similar areas* 2 - Experience in the use of Large Language Models (LLMs) and multi-agent platforms for the creation
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uptake T1.3 - Product Market-fit requirements and system architecture codesign Applicable legislation and regulations: Statute of the Scientific Research Grantee, approved by Law No. 40/2004 of August 18
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in sustainability and the conservation of artistic heritage from a contemporary perspective. Work Plan: The main goal is to understand how AI predictive models can be integrated into preventive
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
collaboration with other researchers. The key topics of PREDICT (and the candidate’s potential line of research) are: Machine learning-based probabilistic hydrological modelling, including calibration, validation
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Infrastructure? No Offer Description MATCH consortium is looking for outstanding and motivated Doctoral Candidates (DCs) with the skills, knowledge, and enthusiasm to develop innovative and breakthrough research
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, namely: Exploration of libraries and models for Artificial Intelligence (AI); Create HPC computing environments; Test the application of HPC to different types of problems in the area of AI; Construction
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, namely: Exploration of quantum computing approaches to solving large problems; Exploration of libraries and models for Artificial Intelligence (AI) and quantum computing; Exploration of approaches