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. Gramaglia, P. Serrano, C. Mannweiler, “ATELIER: service tailored and limited-trust network analytics using cooperative learning”, IEEE Open Journal of the Communications Society S. Henri, G. García-Avilés, P
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workflows). Ability to work effectively in English within an international research environment. High learning agility and a structured approach to complex problem-solving. Assets (Desirable, but not
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solid mathematical training with the fundamental aspects of data science. The Programme aims to train graduates with strong mathematical rigour, analytical capacity, and technological competence, capable
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, environmental, and resource economics. Ideal candidates are those wishing to acquire research experience for a subsequent Ph.D. in Economics. Due to the short term appointment, applicants must have a Spanish tax
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, multilevel analysis). Knowledge in developing predictive and forecasting models in health or environmental research. Skills in machine learning or AI techniques for prediction of complex outcomes. Experience
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computing and decentralized intelligence where a swarm of nodes learns graph dependencies by effectively integrating the structure of distributed systems into neural network architecture. This approach
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, analytical chemistry, biochemistry. Proficiency with scientific software and common lab equipment is advantageous. Previous laboratory experience is beneficial but not mandatory. We are seeking highly