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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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science. You are expected to actively participate in the department’s knowledge environments and networks, both internally and externally. You will be part of an international research project focusing
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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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with eMBB/URLLC network slices and implement a proof of concept including the integration of the coding system for advanced immersive applications developed in the VITAL project; v) Dissemination
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, network analysis, or machine learning are a plus Good organisational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to a
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and will lead qualitative, participatory, and stakeholder-facing aspects of the project. They will design and run co-design workshops, contribute to analysis and evaluation, and work closely with
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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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(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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impact on University policies and procedures. Participate in external networking opportunities to enhance sector knowledge and to share best practice with/from other institutions. Lead the local delivery
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Zeppelin airship Apply advanced data analysis methods, including statistical tools and programming, to large multidimensional datasets from chamber and airborne experiments Present your results