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communication, social media research, network analysis, and/or time series analysis. How to Apply (Closing Date: 30 September 2025) Interested parties are required to submit a complete dossier: A detailed CV
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Paulo state, Brazil, to work on the FAPESP Thematic Project entitled “Integrated Development of Biorefinery and Sugarcane Bioethanol Plant with Net-Zero CO2 Emissions: Pathways to Convert Renewable
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strategies, moving from linear models (regression, mixed models) towards neural network architectures, with comparative analysis of performance gains and interpretability. • Integration of the developed
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, resilient networking and fault-tolerant systems (detection, isolation, recovery). Proficiency in Python for rapid prototyping, data analysis, and simulation (e.g., NetworkX, numerical optimization, agent
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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-correlated environmental noise. 2. Simulation of the dynamics of a regional community of 3 species belonging to two or three trophic levels, considering different types of spatial networks, in the presence
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(national, European and international) Established network of scientific collaborations in oncology research Expertise in oncology biomedicine, with emphasis on cancer genetics High level of proficiency in
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including at least several of the following: algorithms, data analysis, graph, network and complexity theory, scientific computing, statistics, machine learning, programming in C, C++, Python, a scripting
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of strategies to reduce mobile network energy consumption, with a strong focus on the RAN and clear service-quality constraints • Leveraging Network Digital Twinning and what-if analysis frameworks
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implementation of the sensor network in strategic tourist locations • Identification and analysis of installation locations based on historical congestion patterns. • LoRa coverage planning, including