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of the center's researchers. Integrate precipitation data to support the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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. Integrate precipitation data with collaboration in the maintenance and improvement of algorithms for improving precipitation estimates by combining radar and rain gauge data. Develop methods
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methods, hpc computer programming and mechanics of structures. The candidate's experience and knowledge in the tasks to be performed in the project will be valued at 15%, in particular in numerical methods
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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. The successful candidate is expected to live and work in the Madrid area (Spain) for the duration of the project. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo/contrato
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19 Mar 2026 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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» ERC StG project of Prof. Gergely Neu along the following lines: Develop a framework for analyzing instrumental-variable regression methods such as two-stage regression estimators or saddle-point
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computational, and we do both large-scale data analysis and development of methods, but it has also an important experimental component. We participate in many large scale international functional genomics
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reference: PID2023-147127OB-I00 Job title: STATISTICAL INFERENCE USING FLEXIBLE METHODS FOR COMPLEX DATA: THEORY AND APPLICATIONS Research line / Scientific-technical services: Statistical inference Grant
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, additional language proficiency, and training in data‑processing or technical tools will be highly valued, with top‑ranked candidates invited to a final interview. See call in: https://www.usc.gal/en/node